Method for maintenance of a frequency converter and software program realizing the same

Abstract

The invention relates to a method for maintenance of a frequency converter for driving an electric motor of a transportation device, said frequency converter being supplied with AC mains power via a contactor, and including a rectifier circuit for providing a DC supply voltage, a capacitive intermediate circuit for leveling DC supply voltage, and an inverter circuit for providing power to the electric motor. In the method, after the transportation device has been vacant for a predetermined time period, said contactor is opened to disable power flow from mains supply to the frequency converter, and a test load is connected to the intermediate circuit, parallel to a capacity of the intermediate circuit. The DC supply voltage U.sub.dc(t) is detected, and the detected DC supply voltage U.sub.dc(t) is utilized for establishing a maintenance information indicating that a maintenance should be done on the frequency converter. Another aspect of the invention is a software program realizing the method when executed on a computer.

Claims

1. Method for maintenance of a frequency converter configured to drive an electric motor of a transportation device, said frequency converter being supplied with AC mains power via a contactor, and including a rectifier circuit for providing a DC supply voltage, a capacitive intermediate circuit for leveling DC supply voltage, and an inverter circuit for providing power to the electric motor, wherein said method comprises: after the transportation device has been vacant for a predetermined time period, opening said contactor to disable power flow from mains supply to the frequency converter; connecting a test load to the intermediate circuit, parallel to a capacity of the intermediate circuit; detecting the DC supply voltage U.sub.dc(t); and utilizing the detected DC supply voltage U.sub.dc(t) for establishing a maintenance information indicating that a maintenance should be done on the frequency converter, the maintenance information being established before a failure arises, wherein the test load is one of a braking chopper circuit, a machinery brake, and a motor winding, wherein the maintenance information is indicative of a certain kind and/or severity of problem of the frequency converter, wherein the established maintenance information is transferred or made accessible to a remote maintenance center or a mobile service unit or a local control unit of the transportation device, depending on the 25 kind and/or severity of problem indicated by the maintenance information.

2. The method of claim 1, wherein connecting the test load includes activating a braking chopper circuit included in the frequency converter for dissipating electric energy.

3. The method of claim 2, further comprising monitoring and/or storing patterns of the detected DC supply voltage U.sub.dc(t), and utilizing the monitored and/or stored DC supply voltage patterns for establishing the maintenance information, preferably by at least one of: determining a trend in the monitored and/or stored DC supply voltage patterns, and establishing the maintenance information if the trend in the DC supply voltage patterns is judged to be abnormal, comparing a difference between the monitored and/or stored DC supply voltage pattern and an initial voltage pattern of the particular frequency converter, and establishing the maintenance information if the difference is judged to have reached a predetermined threshold value; and determining a rate of voltage change $\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}$ in the monitored and/or stored DC supply voltage pattern, and establishing the maintenance information if the rate of voltage change is judged to have reached a predetermined threshold value.

4. The method of claim 2, further comprising: estimating a capacitance of the intermediate circuit based on the detected DC supply voltage U.sub.dc(t); and establishing the maintenance information if the estimated capacitance of the intermediate circuit is judged to have reached a predetermined threshold value.

5. The method of claim 1, further comprising monitoring and/or storing patterns of the detected DC supply voltage U.sub.dc(t), and utilizing the monitored and/or stored DC supply voltage patterns for establishing the maintenance information, preferably by at least one of: determining a trend in the monitored and/or stored DC supply voltage patterns, and establishing the maintenance information if the trend in the DC supply voltage patterns is judged to be abnormal, comparing a difference between the monitored and/or stored DC supply voltage pattern and an initial voltage pattern of the particular frequency converter, and establishing the maintenance information if the difference is judged to have reached a predetermined threshold value; and determining a rate of voltage change $\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}$ in the monitored and/or stored DC supply voltage pattern, and establishing the maintenance information if the rate of voltage change is judged to have reached a predetermined threshold value.

6. The method of claim 5, further comprising: estimating a capacitance of the intermediate circuit based on the detected DC supply voltage U.sub.dc(t); and establishing the maintenance information if the estimated capacitance of the intermediate circuit is judged to have reached a predetermined threshold value.

7. The method of claim 1, further comprising: estimating a capacitance of the intermediate circuit based on the detected DC supply voltage U.sub.dc(t); and establishing the maintenance information if the estimated capacitance of the intermediate circuit is judged to have reached a predetermined threshold value.

8. The method of claim 7, further comprising detecting a test load current i.sub.test(t) flowing in the test load, wherein the capacitance C of the intermediate circuit is estimated e. g. based on the equation $i_{\mathrm{test}\left(t\right)}=C\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}.$

9. The method of claim 7, wherein, if the test load is the braking chopper circuit, the capacitance C of the intermediate circuit is estimated e. g, based on the equation $\frac{U_{\mathrm{dc}}\left(t\right)}{R_{\mathrm{BC}}}=C\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}},$ where R.sub.BC is the resistance of the braking chopper.

10. The method of claim 9, further comprising detecting temperature information on the test load, and determining resistance of the braking chopper R.sub.BC based on the detected temperature information.

11. The method of claim 7, further comprising: establishing a rate of change of the intermediate circuit capacitance based on estimated capacitances of the intermediate circuit; and establishing the maintenance information if the established rate of change of the intermediate circuit capacitance is judged to have reached a predetermined threshold value.

12. The method of claim 7, wherein the threshold value is set to be a predetermined fraction or percentage of an initial value or a nominal value of the capacitance of the intermediate circuit.

13. The method of claim 7, wherein the threshold value is chosen such that the maintenance information is established before the failure arises.

14. The method of claim 7, wherein if the test load is a motor winding or a machinery brake, the method further comprises: controlling the frequency converter so that current can flow through the test load; detecting the DC supply voltage at a time t=t0 Ud(t); detecting the current i(s) of the test load; and estimating the capacitance C1 of the intermediate circuit based on the transformation, where s is the complex variable used for Laplace transformed functions, i(s) is the current of the test load, C is the capacitance of the intermediate capacitor, L is either the inductance of the machinery brake or the main inductance of the motor, and R is either the resistance of the machinery brake or the resistance of the motor winding.

15. The method of claim 7, wherein if the test load is the machinery brake, the capacitance of the intermediate circuit is estimated based on the equation $\frac{U_{\mathrm{dc}}\left(t_0\right)}{\sqrt{R_{\mathrm{MB}}^2-\frac{4L_{\mathrm{MB}}}{C}}}\left(e^{\left(\frac{-\sqrt{R_{\mathrm{MB}}^2-\frac{4L_{\mathrm{MB}}}{C}}-R_{\mathrm{MB}}}{2L_{\mathrm{MB}}}\right)t}-e^{\left(\frac{\sqrt{R_{\mathrm{MB}}^2-\frac{4L_{\mathrm{MB}}}{C}}-R_{\mathrm{MB}}}{2L_{\mathrm{MB}}}\right)t}\right)=C\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}$ where U.sub.dc(t.sub.0) is the voltage of the DC circuit at the moment when the test load is connected, R.sub.MB is the resistance of the machinery brake, and L.sub.MB is the inductance of the machinery brake, or, if the test load is the motor winding, the capacitance of the intermediate circuit is estimated based on the equation $\frac{U_{\mathrm{dc}}\left(t_0\right)}{\sqrt{R_{\mathrm{MW}}^2-\frac{4L_{\mathrm{MW}}}{C}}}\left(e^{\left(\frac{-\sqrt{R_{\mathrm{MW}}^2-\frac{4L_{\mathrm{MW}}}{C}}-R_{\mathrm{MW}}}{2L_{\mathrm{MW}}}\right)t}-e^{\left(\frac{\sqrt{R_{\mathrm{MW}}^2-\frac{4L_{\mathrm{MW}}}{C}}-R_{\mathrm{MW}}}{2L_{\mathrm{MW}}}\right)t}\right)=C\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}$ where R.sub.MW is the resistance of the motor winding and L.sub.MW is the inductance of the motor winding.

16. The method of claim 7, wherein the comparing and establishing steps are executed at a remote monitoring unit or data analysis platform which preferably is located in a cloud computing system.

17. The method of claim 7, wherein the determining and estimating steps are executed at a local control unit of the transportation device.

18. The method of claim 1, wherein the transportation device is selected from one of an elevator, an escalator, a moving walkway, a cablecar, a railway locomotive, a railcar, a roller coaster, a conveyor, a crane, a positioning unit, and combined systems of a plurality of single units of the same.

19. The method of claim 1, wherein establishing the maintenance information includes defining a maintenance action and/or scheduling the maintenance action or another maintenance action.

20. A software program realizing the method according to claim 1 when executed on a computer, wherein the computer is preferably a distributed computing system part of which being located in a cloud computing system.

Description

(1) Other aspects, features and advantages of the invention will become apparent by the below description of exemplary embodiments alone or in cooperation with the appended drawings.

(2) FIG. 1 is a schematic diagram of a maintenance system or method according to an exemplary embodiment of the invention.

(3) FIG. 2 is a schematic diagram of a frequency converter providing phase currents to an electric motor from a mains supply.

(4) FIG. 3 is a schematic diagram of a braking chopper and an intermediate circuit.

(5) FIG. 4 is a failure matrix showing typical failure modes, failure mechanisms and failure causes of an aluminum electrolytic capacitor.

(6) FIG. 5A is a schematic diagram of a frequency converter providing phase currents to an electric motor from a mains supply.

(7) FIG. 5B is a schematic diagram including graphs for illustrating an operating principle of a prior-art method.

(8) Now, exemplary embodiments of the invention will be described in further detail.

(9) FIG. 1 is a schematic diagram of a maintenance system 100 or method 101 according to an exemplary embodiment of the invention. It will be noted that elements shown in FIG. 1 may be realized as physical instances of the maintenance system 100, or steps of the maintenance method 101, or both.

(10) The system 100 or method 101 is for maintenance of an elevator 110. There may be only one elevator in the system, but there may also be a multiplicity of elevators 110. For distinguishing elevators 110 from each other, each elevator 110 is designated a unique number, herein exemplified as X1, X2, . . . , Xn. In other words, there are n elevators 110 in the system, with n being 1, 2, or more.

(11) A remote monitoring unit 111 is for monitoring each elevator 110 through diagnosis and prognosis algorithms which will be described later, and is in contact with a service unit 112. Even if only one service unit 112 is shown, more than one service unit 112 may be present. A device link 113 is for communication between the remote monitoring unit 111 and the elevator(s) 110, and a service link 114 is for communication between the remote monitoring unit 111 and the service unit(s) 112.

(12) Each elevator 110 comprises a local control unit 120, a drive control board 121, and a motor drive 122 controlled by the drive control board 121, for moving an elevator car or cabin (not shown). A control link 123 is for communication between the local control unit 120 and the drive control board 121, and a drive link 124 is for connecting the drive control board 121 with the motor drive 122. The motor drive 122 may e.g. be a frequency converter converting three-phase mains voltage/current into three-phase motor voltage/current of a hoisting motor of the elevator 110, under control of the drive control board 121. Even if only one drive control board 121 and one motor drive 122 are shown, an elevator may have more than one cars, and a car may have one or more hoisting motors. So each car may be assigned one or more motor drives 122, and each motor drive 122 is assigned to one drive control board 121. However, one drive control board 121 may be responsible for one or more motor drives 122 of one or more elevator cars.

(13) In this exemplary embodiment, the service link 114 is based on a mobile communications protocol, the device link 113 is based on SAG, wherein any other wireless or wired communication protocol is possible, the control link 123 is based on LON or device protocol, and the drive link 124 is based on a KDSC, wherein any serial communication protocol is possible. It will be thus noted that any other useful protocol may be used as needed.

(14) The drive control board 121 includes a drive control 130 for executing MCU and DSP algorithms which per se are known in the art, for driving switches of the motor drive 122, a KPI generation 132, a CF generation 133, a KPI sample limitation 134, and an uplink interface 135 of the control link 123.

(15) There are many signals calculated in the motion control and torque control algorithms located in the drive control 130. The drive control 130 therefore does see and handle many control values as it is controlling the motion of the hoisting machine and these signals can be used to evaluate condition of many system components. Many of these values are calculated either in real-time or after each travel and thus there would be lots of data generated if the values should be transferred to a remote server for analysis and maintenance purposes. A diagnostics framework has been developed to reduce data sent to a server and this framework shall be extended to a drive software as well. This specification describes what data is generated in a box marked with circles I, II, III for condition-based maintenance (CBM) purposes.

(16) The signals calculated, detected or generated in the drive control 130 are passed, as a plurality of raw data 140, to the KPI generation 132 and CF generation 133. The KPI generation 132 has algorithms which generate so-called Key Performance Indicators (KPI) 141 from the raw data 140, and the CF generation 133 has algorithms which generate so-called Condition files (CF) 143 from the raw data 140. A KPI 141 may have the following structure:

(17) <KPI sample 141> 1) timestamp 2) sample

(18) A condition file 143 may have the following structure:

(19) <Condition file (CF) 143> header (timestamp, source) data1, data2 2.123,134.345 2.278,127.780

(20) It will be noted that numerical values in the condition file 143 above have no particular meaning in the context of the present invention and are purely by example. The condition file 143 may in general be referred to as a condition information, and the KPI sample 141/142 may in general be referred to as a performance information. Here, both KPIs and CFs can be used as condition and performance signals.

(21) The condition files 143 are directly passed to the uplink interface 135 to be communicated to the local control unit 120, such as an elevator control unit. The KPIs 141 are passed to the KPI sample limitation 134 to generate a limited or selected KPI sample collection (KPI@I.sub.id) 142 of the individual drive control board 121. The selected KPI samples 142 are then passed to the uplink interface 135 to be communicated to the local control unit 120.

(22) The local control unit 120 has a downlink interface 150 of the control link 123, an uplink interface 151 of the device link 113, a KPI database 152, a CF buffering 153, a KPI sample buffering 154, a KPI daily statistics calculation 155, a KPI daily statistics buffering 156, and a CF generation 157. The local control unit 120 can produce KPIs also (KPI generation algorithm).

(23) The downlink interface 150 is for exchanging data with the drive control board 121, via the control link 123. The uplink interface 151 is for exchanging data with the remote monitoring unit 111, via the device link 113.

(24) The KPI database 152 is for storing individual KPI samples 141 or KPI samples 142. The KPI database 152 may include a data structure including structured data relating to KPI samples and/or statistics, a memory area provided at the local control unit 120 for storing such data structure, and/or a process performing a database management method for managing such data structure.

(25) The CF buffering 153 is for buffering condition files 143 passed from the drive control board 121 and other condition files 143 generated at the local control unit 120 itself, in a condition file stack 164, and passing the same to the uplink interface 151.

(26) The KPI sample buffering 154 is for buffering selected KPI samples 142 passed from the drive control board 121 in a KPI sample stack 163, and passing the same to the uplink interface 151.

(27) The KPI daily statistics calculation 155 is for calculating daily statistics files 160 from the KPI samples 142 passed from the drive control board 121, and passing the same to the KPI daily statistics buffering 156. A KPI daily statistics file 160 may have the following structure:

(28) <KPI daily statistics file> 1) timestamp 2) minimum 3) maximum 4) average 5) standard deviation 6) amount of samples

(29) The KPI daily statistics buffering 156 is for buffering KPI daily statistics files 160 calculated in the KPI daily statistics calculation 155, in a KPI daily statistics stack 161 and passing the same to the uplink interface 151. The KPI daily statistics files 160 may in general be referred to as statistics information. It will be noted that also CF daily statistics files (not shown) may contribute to statistics information.

(30) The CF generation 157 is for generating further condition files 143 from raw data 140 handled within local control unit 120. The generated condition files 143 are also passed to CF buffering 153 to be processed as described above.

(31) The remote monitoring unit 111 has a downlink interface 170 of the device link 113, a diagnosis and prognosis 172, and an interface (not shown) of the service link 114. The diagnosis and prognosis 172 receives selected KPI samples 142, condition files 143 and KPI daily statistics files 160 from the downlink interface 170, to be provided at device images 180 which are provided for each single elevator 110 identified by each one's respective unique number X1, X2, . . . , Xn. The selected KPI samples 142 are gathered at the KPI daily statistics stack 161 and/or at the KPI sample stack 163. The latest KPI samples 142 can be fetched without being stacked. Each device image 180 includes an events and statistics history 181, a KPI history 182, a KPI statistics history 183, and a raw data history 184. It is seen that also raw data 140 may be passed via the links 123, 113 to the remote monitoring unit 111, even if not shown in the drawing. The diagnosis and prognosis section 172 has diagnosis and prognosis algorithms which apply diagnosis and prognosis processes to each device image's 180 data for generating a service needs report 173 relating to an elevator 110 if the diagnosis and prognosis processes conclude that a service is needed at the respective elevator 110. The service needs report 173 is then passed to the mobile service unit 112 via service link 114.

(32) The service unit 112 may comprise a service car 190 operated by a serviceman 191, and comprises a communication device 192 such as a cellphone, car phone, smartphone, tablet, or the like. The service link 114 is established between the remote monitoring unit 111 and the communication device 192 of the service unit. If the service needs report 173 is received at the communication device 192, an alert is given so that the serviceman 191 will take notice, read the service needs report 173, and execute the service need at the elevator 110 the service needs report 173 directs to.

(33) It will be noted that any measured/determined parameters related to drive control of a motor drive 122 of a hoisting motor (not shown) of the elevator 110 may be raw data 140, and a wide variety of parameters may be derived therefrom as key performance indicator (KPI) sample 141/142 or condition file 143. Accordingly, any KPI samples 141/142 and any condition file 143 may be further processed as described above. In other words, daily statistics 160 may be generated, history data 181-184 may be collected to provide an image of each elevator 110 in the system, and diagnosis and prognosis algorithms may be applied, to generate a service need report 173 if a problem is predicted to likely occur soon.

(34) It will be noted that no additional hardware is needed for this estimations but the condition files 141 and/or KPI samples 141/142 can be determined (estimated) using existing hardware. Already with existing software, several drive signals may be derived which may be useful as raw data 140. The determined value(s) can be delivered to a data center (remote monitoring unit 111) and used in a Condition Based (aka predictive) Maintenance (CBM) to optimize replacement intervals so that full lifetime is used and no functional failures shall occur.

(35) The motor drive 122 includes or is embodied by a frequency converter 200 as seen in FIG. 2. In FIG. 2, elements are schematically illustrated, and may be simplified to some extent so as to focus the illustration to the parts useful for describing the invention.

(36) The frequency converter 200 is for converting an AC multi-phase (3-phase) supply voltage from a main power supply 202 into an AC multi-phase (3-phase) motor voltage for an electric motor 201. Motor 201 is a hoisting motor of an elevator car (not shown) of elevator 110 (FIG. 1). The electric motor 201 has three phases U, V, W and may be a permanent magnet synchronous motor.

(37) The main power supply 202 has three mains phases 220 individually indicated A, B, C, and a mains ground 221, a relay unit 222 and a transformer unit 223. The relay unit 222 comprises a solenoid 225 and individual contactors 224 for each mains phase 220 and the mains ground 221. The transformer unit 223 comprises individual transformers 226 for each mains phase 220 transforming a mains supply voltage thereof into an operational voltage.

(38) The frequency converter 200 comprises a rectifier circuit 210, a braking chopper circuit 211, a capacitive intermediate circuit 212, and an inverter circuit 213.

(39) The rectifier circuit 210 comprises individual pairs of serially connected rectifier diodes 230 for each transformed mains phase 220, rectifying AC voltage thereof into a DC operational voltage U.sub.dc, thereby defining an intermediate high potential 231 on the positive side (+) and an intermediate low potential 232 on the negative side ().

(40) The braking chopper circuit 211 comprises a chopper switch 240 with a flywheel diode 241, and an chopper diode 242 in series with the flywheel diode 241. The chopper switch 240 is a semiconductor switch, preferably field effect transistor, e.g. IGBT.

(41) The capacitive intermediate circuit 212 comprises an intermediate capacitor 250 of capacity C1. The capacitive intermediate circuit 212 may include a capacitive network of a plurality of capacitors and other elements which the intermediate capacitor 250 may be equivalent to. In other words the capacity C1 of the capacitor 250 is an equivalent capacity of the intermediate circuit 212.

(42) The inverter circuit 213 comprises individual pairs of inverter switches 260 for each phase U, V, W of the motor, thereby establishing a full-H-bridge circuit, each with a flywheel diode 261. Inverter phases 262 are provided with respective phase output resistors 263 to end in the motor phases U, V, W. The inverter switches 260 are semiconductor power switches, preferably field effect transistors, e.g. IGBTs.

(43) Gates of the inverter switches 260 as well as a gate of the brake switch 240 and the solenoid 225 of the relay unit 222 are driven by motor drive 122 (FIG. 2).

(44) The braking chopper circuit 211 may be constructed differently from the above. For example, the flywheel diode may be omitted, and a resistor 300 may be provided in parallel with the chopper diode 242 (FIG. 3).

(45) The maintenance method 101 may include estimating a capacitance C1 of the intermediate circuit 212 and utilizing it for establishing a maintenance information indicating that a maintenance should be done on the frequency converter 200. For estimating capacitance C1, this application provides three options.

(46) In a first option, when the elevator 100 has been vacant for a while, contactors 224 of the relay unit 222 are opened to disable power flow from the mains phases 220, and the braking chopper 211 is activated by triggering chopper switch 240. As the braking chopper resistance R is known, the braking chopper current i.sub.BC can be estimated (if not measured) with the equation

(47) $i_{\mathrm{BC}}\left(t\right)=\frac{U_{\mathrm{dc}}\left(t\right)}{R}=i_C=C1\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}},$
where C1 is the capacitance of the intermediate circuit 212 to be estimated, and the ESR (equivalent series resistance) of the capacitor 250 (i.e., the capacitive intermediate circuit 212) is considered negligible. An iterative algorithm can be developed when the capacitor 250 is discharged near to the under voltage tripping level.

(48) Accordingly, in this option, after the elevator 100 has been vacant for a predetermined time period, the contactors 224 are opened to disable power flow from mains supply 220 to the frequency converter 200, and said braking chopper 211 is activated. Then, DC supply voltage U.sub.dc(t) is detected, as a raw data 140 as shown in FIG. 1, which can easily be differentiated to determine a voltage change

(49) $\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}$
of the DC supply voltage. With known R, the capacitance C1 of the intermediate circuit 212 may be estimated based on the equation

(50) 0$\frac{U_{\mathrm{dc}}\left(t\right)}{R}=C1\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}.$

(51) As C1 is once estimated, it can be sent to a data center (i.e., remote monitoring unit 111) where it may be compared to an initial value calculated during the commissioning, or a nominal value. When the capacitor value C1 is lower than a threshold (adjustable, includes also some margin), a service need is generated to enable replacement of capacitors (or whole frequency converter 200) before a functional failure would occur due to bad condition of the capacitors. It is most likely that when studied further, the internal resistance of the capacitor (ESR) can be also measured.

(52) In a second option, a braking chopper current i.sub.BC(t) flowing in the braking chopper circuit 211 is directly determined, and C1 is estimated based on the equation

(53) $i_{\mathrm{BC}}\left(t\right)=C1\frac{{\mathrm{dU}}_{\mathrm{dc}}\left(t\right)}{\mathrm{dt}}.$
For the rest, this option follows the first option.

(54) A third option will be described for the case where the frequency converter 200 is four-quadrant-controlled without the braking chopper. Here, the motor can be utilized as energy can be moved from the DC capacitors to the leakage and main inductance of the motor and thus a relative energy capacity can be estimated if the values are available in F the frequency converter's memory or in the data center. If motor parameters are known, it is even possible to estimate absolute value of C1.

(55) Accordingly, in this option, after the elevator 100 has been vacant for a predetermined time period and the contactors 124 have been opened, the current i(s) of a motor winding is detected, and C1 is estimated based on the equation

(56) $i\left(s\right)=\frac{C1U_{\mathrm{dc}}\left(t_0\right)}{\mathrm{LC}1s^2+\mathrm{RC}1s+1}{.Math.}_{\left[\mathrm{PH}1\right]}.$

(57) It will be noted that no additional hardware is needed for this estimations but the intermediate capacitor condition can be determined (estimated) using existing hardware. The determined value(s) can be delivered to a data center (remote monitoring unit 111) and used in a Condition Based (aka predictive) Maintenance (CBM) to optimize replacement intervals so that full lifetime is used and no functional failures shall occur.

(58) It will be noted that measured/determined parameters like the DC supply voltage Udc(t) and/or the braking chopper current i.sub.BC(t) and/or stator current i.sub.s(t) are raw data (140 in FIG. 1), and estimated C1 is a key performance indicator (KPI) sample (141 in FIG. 1). Accordingly, the KPI samples 141 may be further processed as described above in the context of FIG. 1. Alternatively, estimated C1 may be handled as condition file 143 and further processed as described above in the context of FIG. 1. In other words, daily statistics 160 may be generated, history data 181-184 may be collected to provide an image of each elevator 100 in the system, and diagnosis and prognosis algorithms may be applied, to generate a service need report 173 if a problem is predicted to likely occur soon.

(59) The remote monitoring unit 111 may be included in a cloud computing architecture or other distributed architecture. I.e., at least parts of diagnosis and prognosis section 172 may be distributed, e.g., to a data analysis platform and a maintenance unit located at different computers in a cloud. The KPI daily statistics data 160 are sent e.g. on a daily basis to the data analysis platform which in turn generates trend information. Trend information may be generated such that a decreasing trend can be detected and a maintenance action can be triggered before failure of the intermediate capacitor 250 or the whole frequency converter 200 takes place, which would prevent elevator operation. To this end, trend information may be sent to the maintenance unit for analyzation. If the maintenance unit detects that a maintenance action is needed, it generates either a maintenance instruction and passes it to the local control unit 120 in case maintenance can be executed by useful control signaling to the drive control 130 or others, or generates a service needs report 173 and passes it to service unit 112 as described above. In the present case, the service needs report may e.g. read something like [Service needs report on elevator X1:] Check frequency converter (FC) as intermediated capacitor appears to degrade, and replace capacitor(s) or whole FC. Related reports of <signals> available by selecting Get reports.

(60) In this manner, the estimated intermediate circuit capacitance C1 is utilized for establishing a maintenance information indicating that a maintenance should be done on the transportation device (elevator) 110.

(61) This application focuses on condition monitoring of the intermediate circuit capacitance C1. On the other hand, a similar monitoring system may be utilized for analysis of other data also.

(62) Even if the invention was described above based on elevators, as a matter of example, the invention is applicable to any transportation system using an electric motor for moving a moving part of the transportation system. The moving part may be a cabin of an elevator, a car of a roller coaster, a moving stairway or walkway, a locomotive of a railway, or others.

(63) It is to be noted that the monitoring interval may be other than daily, i.e., may be shorter such as twice daily, hourly, or less such as even after every run, or may be longer such as twice weekly, weekly, monthly, or more.

(64) A technical feature or several technical features which has/have been disclosed with respect to a single or several embodiments discussed herein before, e. g. the service car 190 in FIG. 1 may be present also in another embodiment e. g. when maintenance is carried out on the frequency converter shown in FIG. 2 except it is/they are specified not to be present or it is impossible for it/them to be present for technical reasons.

LIST OF REFERENCE SIGNS

(65) 100 Maintenance system

(66) 101 Maintenance method

(67) 110 Transportation device (e.g., elevator)

(68) 111 Remote monitoring unit (cloud computing system)

(69) 112 Service unit

(70) 113 Device link

(71) 114 Service link

(72) 120 Local control unit

(73) 121 Drive control board

(74) 122 Motor drive (frequency converter)

(75) 123 Control link

(76) 124 Drive link

(77) 130 Drive control (Existing MCU & DSP algorithms)

(78) 132 KPI generation

(79) 133 CF generation

(80) 134 KPI sample limitation

(81) 135 Uplink interface

(82) 140 Raw data

(83) 141 Key performance indicator (KPI)

(84) 142 KPI sample

(85) 143 Condition file (CF)

(86) 150 Downlink interface

(87) 151 Uplink interface

(88) 152 KPI database

(89) 153 CF buffering

(90) 154 KPI sample buffering

(91) 155 KPI daily statistics calculation

(92) 156 KPI daily statistics buffering

(93) 157 CF generation

(94) 160 KPI daily statistics file

(95) 161 KPI daily statistics stack

(96) 163 KPI sample stack

(97) 164 CF stack

(98) 170 Downlink interface

(99) 171 Communication link

(100) 172 Diagnosis & prognosis section

(101) 173 Service needs report

(102) 180 Device images

(103) 181 Events & statistics history

(104) 182 KPI history

(105) 183 KPI statistics history

(106) 184 Raw data history

(107) 190 Service car

(108) 191 Serviceman

(109) 192 Communication device

(110) 200 Frequency converter (Motor drive)

(111) 201 Electric motor

(112) 202 Main power supply

(113) 210 Rectifier circuit

(114) 211 Braking chopper circuit

(115) 212 Capacitive intermediate circuit

(116) 213 Inverter circuit

(117) 220 Mains phase (A, B, C)

(118) 221 Mains ground

(119) 222 Relay unit

(120) 223 Transformer unit

(121) 224 Contactor

(122) 225 Solenoid

(123) 226 Transformer

(124) 230 Rectifier diode

(125) 231 Intermediate high potential

(126) 232 Intermediate low potential

(127) 240 Chopper switch

(128) 241 Flywheel diode

(129) 242 Chopper diode

(130) 250 Intermediate capacitor (C1)

(131) 260 Inverter switch

(132) 261 Flywheel diode

(133) 262 Inverter Phase

(134) 263 Phase output resistor

(135) 300 Chopper resistance

(136) 400 Failure matrix

(137) 500 Frequency converter

(138) 501 Mains power supply

(139) 502 Electric motor

(140) 550 Capacitance determining method

(141) 560 Graph (S2,6)

(142) 570 Graph (S1)

(143) 580 Graph (Is)

(144) 590 Graph (DC link voltage)

(145) ic capacitor current

(146) id charging current

(147) is stator current

(148) A,B,C Mains supply phases

(149) C1 Capacitance of intermediate circuit

(150) D1, . . . D Inverter flywheel diodes

(151) ESR Equivalent series resistance

(152) U,V,W Motor phases

(153) L.sub.N Phase inductivity

(154) M Motor

(155) S1, . . . S6 Inverter switches

(156) Udc DC operational voltage

(157) The above list is an integral part of the description.