Patent classifications
G01H1/00
BEARING DEFECT AUTO-DETECTION BY SWEPT PATTERN FOLLOWED BY POST-SWEEP LOGIC FILTER
A bearing defect auto-detection system includes a processor to receive condition monitoring data that includes vibration harmonics corresponding to a bearing coupled to a rotatable shaft. The processor performs a pattern sweeping process that sweeps a pattern through both a speed range and a bearing class defect frequency range. In response to the test pattern having at test pattern sideband, the processor also sweeps the test pattern sideband through a sideband range, against the condition monitoring data to determine the pattern's fundamental frequency and sideband frequency. The processor determines a most probably bearing defect type associated with the bearing based on the best match value amongst results associated with the test pattern. The processor also performs a post-sweep logic process that compares a number (N) of most recent results from the pattern sweeping process to at least one conditional test to confirm the most probably bearing defect type is present.
Diagnosis of gear condition by comparing data from coupled gears
A method and system for diagnosing gear condition by comparing data collected from each member of a set of coupled gears, including mating gears. Data containing vibrations or other signals from the set of coupled gears are collected. Condition indicators are calculated from the vibration data. The values of these condition indicators are compared for each pair of coupled gears. A divergence of the condition indicators as indicated by the comparison may indicate the presence of a faulted or otherwise anomalous condition. Such indication may be provided to a user. In one variation, the vibration data are used to calculate a synchronous average for each gear and the condition indicators are based on the synchronous average.
Sensor device for providing at least one operating parameter of an oscillating conveyor, and oscillating conveyor
A sensor device which is used to provide a control device with at least one operating parameter of an oscillating conveyor, the control device being used to control a drive device for exciting oscillation of an oscillating rail on the basis of the operating parameter, the sensor device including at least one sensor element for recording the operating parameter or at least one measured value from which the operating parameter can be determined, the sensor device including at least one communication device for wirelessly transmitting the operating parameter to the control device and an energy supply device for supplying the sensor device with operating energy, the energy supply device being used to convert a vibration generated by the drive device and/or electromagnetic radiation into the operating energy.
Sensor device for providing at least one operating parameter of an oscillating conveyor, and oscillating conveyor
A sensor device which is used to provide a control device with at least one operating parameter of an oscillating conveyor, the control device being used to control a drive device for exciting oscillation of an oscillating rail on the basis of the operating parameter, the sensor device including at least one sensor element for recording the operating parameter or at least one measured value from which the operating parameter can be determined, the sensor device including at least one communication device for wirelessly transmitting the operating parameter to the control device and an energy supply device for supplying the sensor device with operating energy, the energy supply device being used to convert a vibration generated by the drive device and/or electromagnetic radiation into the operating energy.
Apparatus and method for analysing the condition of a machine having a rotating part
An apparatus for analysing the condition of a machine having a part rotating with a speed of rotation (f.sub.ROT), comprising: a first sensor (10) adapted to generate an analogue electric measurement signal (S.sub.EA) dependent on mechanical vibrations (V.sub.MD) emanating from rotation of said part; an analogue-to-digital converter (40, 44) adapted to sample said analogue electric measurement signal (S.sub.EA) at an initial sampling frequency (f.sub.S) so as to generate a digital measurement data signal (SMD, .sub.SENV) in response to said received analogue electric measurement signal (S.sub.EA); a device (420) for generating a position signal (Ep) having a sequence of position signal values (P.sub.(i)) for indicating momentary rotational positions of said rotating part; and a speed value generator (601) being adapted for recording a time sequence of said position signal values (P.sub.(i)) such that there are angular distances (delta-FI.sub.p1-p2, delta-FI.sub.p2-p3) and corresponding durations (delta-T.sub.p1-p2; delta-T.sub.p2-p3) between at least three consecutive position signals (P1, P2, P3) wherein the speed value generator (601) operates to establish at least two momentary speed values (VT1; VT2) based on said angular distances (delta-FI.sub.p1-p2, delta-FI.sub.p2-p3) and said corresponding durations (delta-T.sub.p1-p2; delta-T.sub.p2-p3), and wherein further momentary speed values for the rotational part (8) are established by interpolation between the at least two momentary speed values (VT1, VT2).
Rotating blade analysis
Methods are provided for: (i) measuring the position of the blade stagger angle axis for one or more blades of a row of blades attached to a rotor, (ii) measuring the blade tip stagger angle for one or more such blades, and (iii) measuring the blade tip axial displacement for one or more such blades. The methods use forward and rearward blade tip timing datasets for successive rotations of the blades from two axially spaced blade tip timing probes. The forward probe is forward of the rearward probe along the axial direction of the rotor. The blade tip timing datasets allow the times of arrival of the blades at the respective probes to be measured. The methods also use a once per revolution dataset for the successive rotations of the blades. The once per revolution dataset allows the angular velocity of the blades to be measured.
Method for monitoring demagnetization
A method for discovering demagnetisation faults of a permanent magnet synchronous generator, such as a wind power generator. The method is performed during operation of the synchronous generator and includes measuring the vibration of the stator, performing a frequency analysis of the vibration, and deducing whether the generator suffers from demagnetization of a permanent magnet, from the vibration analysis. Moreover, geometric eccentricity faults and electric short circuit faults may also be detected from the vibration.
Analysis of periodic information in a signal
A “periodic signal parameter” (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A “periodic information plot” (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.
Analysis of periodic information in a signal
A “periodic signal parameter” (PSP) indicates periodic patterns in an autocorrelated vibration waveform and potential faults in a monitored machine. The PSP is calculated based on statistical measures derived from an autocorrelation waveform and characteristics of an associated vibration waveform. The PSP provides an indication of periodicity and a generalization of potential fault, whereas characteristics of the associated waveform indicate severity. A “periodic information plot” (PIP) is derived from a vibration signal processed using two analysis techniques to produce two X-Y graphs of the signal data that share a common X-axis. The PIP is created by correlating the Y-values on the two graphs based on the corresponding X-value. The amplitudes of Y-values in the PIP is derived from the two source graphs by multiplication, taking a ratio, averaging, or keeping the maximum value.
Vibration-sensing field unit
A vibration-sensing field unit includes a base with at least one accelerometer, and a body mounted to the base. The base is composed essentially of a first material, while the body is composed essentially of a second material that is more flexible than the first material to reduce a vibration at the accelerometer caused by a mass supported by the body. In another embodiment, a vibration-sensing field unit includes at least one accelerometer and at least one ultrasonic transducer.