Condition determination of a gas turbine engine
11466587 · 2022-10-11
Assignee
Inventors
Cpc classification
F05D2260/80
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F05D2270/333
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F05D2270/301
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F05D2220/32
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F05D2270/81
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F05D2260/83
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
F01D21/003
MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
International classification
Abstract
Disclosed herein is a method of automatically determining an operating condition of at least part of a gas turbine engine 10 for an aircraft, the method comprising: measuring one or more gas pressure waves by a gas pressure detector 401, wherein the gas pressure detector 401 is located in the gas turbine engine 10; and automatically determining, by a computing system, an operating condition of at least part of a gas turbine engine 10 in dependence on an output signal of the gas pressure detector 401.
Claims
1. A method of automatically determining an operating condition of at least part of a gas turbine engine for an aircraft, the method comprising: measuring one or more gas pressure waves by a gas pressure detector, wherein the gas pressure detector is located in the gas turbine engine and comprises an acoustic element, and the acoustic element has a directional sensitivity; and automatically determining, by a computing system, an operating condition of the at least part of the gas turbine engine in dependence on an output signal of the gas pressure detector, wherein: the gas pressure detector comprises a plurality of acoustic elements; each acoustic element has directional sensitivity; and all of the acoustic elements have different orientations such that the gas pressure detector is able to detect gas pressure waves with substantially the same sensitivity in all of the directions that a respective acoustic element is orientated in.
2. The method according to claim 1, further comprising measuring one or more gas pressure waves by one or more further gas pressure detectors, wherein: the one or more further gas pressure detectors are located in the gas turbine engine; and said automatically determining of the operating condition is also dependent on the output signal from each of the one or more further gas pressure detectors.
3. The method according to claim 1, wherein the computing system performs a Fourier Transform on the output signal of the gas pressure detector to generate a frequency domain version of the output signal.
4. The method according to claim 1, wherein said automatically determining of the operating condition comprises comparing, by the computing system, the output signal of the gas pressure detector with one or more predetermined signals.
5. The method according to claim 4, wherein: the computing system performs a Fourier Transform on the output signal of the gas pressure detector to generate a frequency domain version of the output signal; and said comparing of the output signal of the gas pressure detector with the one or more predetermined signals is a comparison of the frequency domain version of the output signal with the one or more predetermined signals.
6. The method according to claim 1, further comprising filtering, by the computing system, the output signal of the gas pressure detector.
7. The method according to claim 1, further comprising: monitoring, by the computing system, the operating condition of the at least part of the gas turbine engine; and detecting, by the computing system, a change in the operating condition.
8. The method according to claim 7, further comprising determining, by the computing system, a type of the change in the operating condition of the at least part of the gas turbine engine in dependence on comparison of the output signal of the gas pressure detector with one or more predetermined signals.
9. The method according to claim 8, wherein: the determined type of the change includes a pipe cracking, bursting and/or leaking; and/or the determined type of the change comprises a type of pipe that a change has occurred in, including at least one of a cabin air pipe, anti-ice air pipe or handling bleed pipe.
10. The method according to claim 7, further comprising determining a location of the change.
11. The method according to claim 10, further comprising measuring one or more gas pressure waves by one or more further gas pressure detectors, wherein: the one or more further gas pressure detectors are located in the gas turbine engine; said automatically determining of the operating condition is also dependent on the output signal from each of the one or more further gas pressure detectors; and the location of the change is determined in dependence on a difference in time of arrival of gas pressure waves received at two or more of the gas pressure detectors.
12. The method according to claim 1, wherein the acoustic elements are arranged to form a substantially spherical shape such that the sensitivity of the gas pressure detector is substantially the same in all directions around the gas pressure detector.
13. The method according to claim 1, wherein: each acoustic element comprises an acoustic sensor and a housing; and the housing is a horn wave guide.
14. The method according to claim 1, wherein the gas pressure detector is located in a fire zone of the gas turbine engine.
15. The method according to claim 1, further comprising impacting the gas turbine engine, wherein the automatically determining of the operating condition of the at least part of the gas turbine engine is dependent on one or more gas pressure waves caused by the impact.
16. A system comprising a gas turbine engine for an aircraft and a computing system, wherein: the gas turbine engine comprises one or more gas pressure wave detectors; and the computing system is arranged to automatically detect the operating condition of the at least part of the gas turbine engine according to the method of claim 1.
17. The system according to claim 16, wherein the gas turbine engine further comprises: an engine core comprising a turbine, a compressor, and a core shaft connecting the turbine to the compressor; a fan located upstream of the engine core, the fan comprising a plurality of fan blades; and a gearbox that receives an input from the core shaft and outputs drive to the fan so as to drive the fan at a lower rotational speed than the core shaft.
18. The system according to claim 17, wherein: the turbine is a first turbine, the compressor is a first compressor, and the core shaft is a first core shaft; the engine core further comprises a second turbine, a second compressor, and a second core shaft connecting the second turbine to the second compressor; and the second turbine, second compressor, and second core shaft are arranged to rotate at a higher rotational speed than the first core shaft.
19. A gas pressure detector comprising: a plurality of acoustic elements, wherein sensitivity of detection of a gas pressure wave by each acoustic element is dependent on a direction that the acoustic element is aligned in relative to a direction of propagation of the gas pressure wave, wherein: all of the acoustic elements have different orientations such that the gas pressure detector is able to detect gas pressure waves with substantially the same sensitivity in all of the directions that an acoustic element is orientated in; and the acoustic elements are arranged to form a substantially spherical shape such that the sensitivity of the gas pressure detector is substantially the same in all directions around the gas pressure detector.
20. The gas pressure detector according to claim 19, wherein: each acoustic element comprises an acoustic sensor and a horn wave guide; the acoustic element is arranged at a first end of the horn wave guide; and a second end of the horn wave guide, that is opposite the first end of the horn wave guide, is shaped as a polygon in a cross-section that is orthogonal to a longitudinal axis of the horn wave guide.
21. The gas pressure detector according to claim 19, wherein the acoustic elements are arranged such that a shape of the gas pressure detector is a dodecahedron.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) Embodiments will now be described by way of example only, with reference to the Figures, in which:
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DETAILED DESCRIPTION
(10)
(11) In use, the core airflow A is accelerated and compressed by the low pressure compressor 14 and directed into the high pressure compressor 15 where further compression takes place. The compressed air exhausted from the high pressure compressor 15 is directed into the combustion equipment 16 where it is mixed with fuel and the mixture is combusted. The resultant hot combustion products then expand through, and thereby drive, the high pressure and low pressure turbines 17, 19 before being exhausted through the nozzle 20 to provide some propulsive thrust. The high pressure turbine 17 drives the high pressure compressor 15 by a suitable interconnecting shaft 27. The fan 23 generally provides the majority of the propulsive thrust. The epicyclic gearbox 30 is a reduction gearbox.
(12) An exemplary arrangement for a geared fan gas turbine engine 10 is shown in
(13) Note that the terms “low pressure turbine” and “low pressure compressor” as used herein may be taken to mean the lowest pressure turbine stages and lowest pressure compressor stages (i.e. not including the fan 23) respectively and/or the turbine and compressor stages that are connected together by the interconnecting shaft 26 with the lowest rotational speed in the engine (i.e. not including the gearbox output shaft that drives the fan 23). In some literature, the “low pressure turbine” and “low pressure compressor” referred to herein may alternatively be known as the “intermediate pressure turbine” and “intermediate pressure compressor”. Where such alternative nomenclature is used, the fan 23 may be referred to as a first, or lowest pressure, compression stage.
(14) The epicyclic gearbox 30 is shown by way of example in greater detail in
(15) The epicyclic gearbox 30 illustrated by way of example in
(16) It will be appreciated that the arrangement shown in
(17) Accordingly, the present disclosure extends to a gas turbine engine having any arrangement of gearbox styles (for example star or planetary), support structures, input and output shaft arrangement, and bearing locations.
(18) Optionally, the gearbox may drive additional and/or alternative components (e.g. the intermediate pressure compressor and/or a booster compressor).
(19) Other gas turbine engines to which the present disclosure may be applied may have alternative configurations. For example, such engines may have an alternative number of compressors and/or turbines and/or an alternative number of interconnecting shafts. By way of further example, the gas turbine engine shown in
(20) The geometry of the gas turbine engine 10, and components thereof, is defined by a conventional axis system, comprising an axial direction (which is aligned with the rotational axis 9), a radial direction (in the bottom-to-top direction in
(21) A gas turbine engine 10 may comprise a large number of fluid carrying pipes/ducts. The fluids in the pipes can be at high temperatures and/or high pressures.
(22) It is necessary to monitor the operating condition of a gas turbine engine 10 in order to determine if a change in operating condition, in particular a fault condition, has occurred. A fault condition may be, for example, a pipe failure such as a leak occurring or a pipe bursting. If a fault condition occurs then the fault condition should be quickly detected so that appropriate action can be taken.
(23) It is known to detect pipe failures by monitoring the temperature within a gas turbine engine 10. A large burst in a pipe can alter the temperature of the bulk of the gas turbine engine 10. A fault condition can therefore be detected by detecting the temperature change of the bulk. For example, thermometers arranged in the fire zone of the gas turbine engine 10 can detect a fault condition whenever there is an unexpected change of the measured temperatures. However, this known technique is not able to detect a small burst in a pipe that may only cause local effects and does not significantly change the bulk temperature. In addition, a fault cannot be detected until the fault causes a temperature change and this can be a slow process.
(24) Embodiments improve on known techniques by using the acoustics of a gas turbine engine 10 to determine its operating condition. The acoustics, i.e. sound, that the gas turbine engine 10 makes is measured and monitored. Any change of the sound can be used to determine that there has been a change in the operating condition of the gas turbine engine 10.
(25) Embodiments may also include techniques for recognising a type of fault condition that has occurred in dependence on the sound of the gas turbine engine 10.
(26) Embodiments may also include applying techniques for determining the location of a specific sound source. This may be used to determine the location of a fault, such as a burst pipe.
(27) Embodiments are described below with reference to a microphone used to detect sound. However, the techniques of embodiments are not restricted to the sound being a human audible sound and the sound can more generally can be any type of gas pressure wave. The gas may be air and the detected waves air pressure waves. The gas pressure wave may be audible to a human or it may be, for example, ultra-sonic, super-sonic or sub-sonic.
(28) The microphone is also not restricted to being capable of only measuring/recording human audible sounds and may more generally be a gas pressure detector/transducer for detecting the gas pressure waves.
(29) When a gas turbine engine 10 is operating, a failure of a pipe within the gas turbine engine 10 will have an acoustic effect. The acoustic effect may be the direct sound of the pipe wall rupturing and/or fluid passing out of, or into, the pipe through the hole in the pipe wall caused by the rupture.
(30) The acoustic effects can also be used to determine the operating condition of other parts of the system and changes other than burst pipes. For example, the monitored acoustics may include any components of the power plant noise signature such as fan noise, combustor rumble and/or compressor acoustics. Any changes in the measured sound and/or differences to expected values of the measured sound can be used to detect a failure.
(31) The techniques for measuring and monitoring sounds in a gas turbine engine 10 according to embodiments are not restricted to being performed when the gas turbine engine 10 is operating. For example, a sound may be induced in the gas turbine engine 10 by, for example, impacting a part of the gas turbine engine 10. The condition of the gas turbine engine 10 may be determined in dependence on the sound generated in response to the impact.
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(33) As shown in
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(35) As shown in
(36) One of the pipes 404 shown in
(37) Each microphone 401 measures the sound of its environment and outputs an electric signal that is generated in dependence on the measured sound. Each microphone 401 is in communication with a computing system. The output signal from each microphone 401 is transmitted to the computing system.
(38) The computing system may record each signal received from a microphone 401. The computing system can detect changes to the operating condition of a part of the gas turbine engine 10 and/or the entire gas turbine engine 10 by, for each microphone 401, comparing the most recently received signal to previously received signals.
(39) The computing system may analyse each signal that it receives from a microphone 401 by performing a Fourier transform on the signal. The Fourier transform may be, for example, a fast Fourier transform and/or a discrete Fourier transform. The Fourier transform generates a frequency domain representation of the signal. This can be used to determine if the sound comprises components within specific frequency ranges that may be an indication of an incorrect operating condition. For example, a burst pipe may cause super-sonic screech noise to be generated. The burst pipe can then be detected by the computing system whenever frequency components corresponding to super-sonic screech noise are present in a received signal from a microphone 401.
(40) The computing system may determine the operating condition of a part of the gas turbine engine 10 and/or the entire gas turbine engine 10 by comparing the received signal from each microphone 401 to predetermined values/waveforms of signals.
(41) The computing system may store, or have access over a network to, a library of predetermined sound profiles with each sound profile corresponding to one of a plurality of types of fault condition. The fault conditions may include cracked, burst and/or leaking pipes as well as other events that may occur. The computing system may therefore be able to determine, from a comparison of a signal received from a microphone 401 and the sound profiles, the type of fault condition that has occurred. If there are predetermined sound profiles for different types of pipe, the computing system may be able to determine the type of pipe that has failed. For example, cabin air, anti-ice air and handling bleed pipes may all have different sound profiles when they burst and the type of pipe that has burst can therefore be automatically determined by the computing system. The sound profiles may be generated, for example, empirically or through modelling.
(42) The comparison of a signal received by the computing system from a microphone 401 and sound profile may be performed in either the time domain or the frequency domain. If it is performed in the frequency domain then this will allow events that are characterised by the components of their frequency spectrum to be easily compared. Each signal received by the computing system from a microphone 401 may also have other process performed on it, such as filtering operations to prevent aliasing.
(43) The computing system may be able to determine the location and/or direction of a sound source caused by an event occurring, such as a hole occurring in a pipe. If there is only one microphone 401, the location of the sound source may be determined if the microphone 401 is directional and/or if the sound profile is dependent on the distance between the microphone 401 and the sound source.
(44) When more than one microphone 401 is used, as shown in
(45) In the example shown in
(46) Embodiments are not restricted to the microphones 401 being provided in the locations, and with the relative orientations, shown in
(47) Each microphone 401 may comprise one or more acoustic elements 600. As shown in
(48) When a microphone 401 comprises a plurality of acoustic elements 600, each acoustic element 600 generates and outputs an electric signal that is generated in dependence on the measured sound. The signal output from the microphone 401 that is transmitted to the computing system may comprise a plurality of signals, with each of the plurality of signals being an output signal from one of the acoustic elements 600 comprised by the microphone 401. Alternatively, the plurality of electric signals from the acoustic elements 600 may be combined with each other at the microphone 401 to generate a single electric signal that is transmitted to the computing system.
(49) Embodiments improve the determination of the operating condition of a gas turbine engine 10 over known techniques based on thermal detection. In particular, a one microphone 401 can detect sound changes over a large region that would require a plurality of thermal detectors, a change of condition can be detected instantly (there is no thermal lag), the location and/or direction of a sound source can be determined, microphones 401 are not expensive and the microphones 401 can detect changes in other parts of the overall system that contribute to the sound profile of the system.
(50) In an alternative to the above-described techniques, one or more of the microphones 401 may be a single horn, or other shape, so that a directional signal is measured.
(51) Embodiments include detecting any type of fault event and well as the general engine health, such as engine degradation and deterioration.
(52) Embodiments may also be integrated with an engine vibration monitoring system and/or thermal detection system.
(53)
(54) In step 801, the process begins.
(55) In step 803, one or more gas pressure waves are measured by a gas pressure detector 401, wherein the gas pressure detector 401 is located in the gas turbine engine 10.
(56) In step 805, a computing system automatically determines an operating condition of at least part of a gas turbine engine 10 in dependence on an output signal of the gas pressure detector 401.
(57) In step 807, the process ends.
(58) Embodiments are not restricted to all of the microphones 401 being located within the gas turbine engine 10. Embodiments also include one or more microphones 401 being located outside of the gas turbine engine 10. There may be microphones located both inside and outside of the gas turbine engine 10 or all of the microphones may be located outside of the gas turbine engine 10.
(59) Embodiments may be used for detecting burst ducts in an automatic thrust pull back system. Other applications that embodiments may be used for include determining if operations are being correctly performed during a pilot shutdown operation and determining if ventilation systems, cooling systems and/or pressure relief panels are operating correctly.
(60) When incorrect operation is detected, embodiments include automatically generating messages to maintenance teams and dispatch notes for reporting the incorrect operation.
(61) It will be understood that the invention is not limited to the embodiments above-described and various modifications and improvements can be made without departing from the concepts described herein. Except where mutually exclusive, any of the features may be employed separately or in combination with any other features and the disclosure extends to and includes all combinations and sub-combinations of one or more features described herein.