WO2022032529A1 - Procédé, dispositif électronique et support de stockage lisible par ordinateur pour diagnostic de défaillance - Google Patents

Procédé, dispositif électronique et support de stockage lisible par ordinateur pour diagnostic de défaillance Download PDF

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Publication number
WO2022032529A1
WO2022032529A1 PCT/CN2020/108716 CN2020108716W WO2022032529A1 WO 2022032529 A1 WO2022032529 A1 WO 2022032529A1 CN 2020108716 W CN2020108716 W CN 2020108716W WO 2022032529 A1 WO2022032529 A1 WO 2022032529A1
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WIPO (PCT)
Prior art keywords
speed
gearbox
signal
shaft
input
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Application number
PCT/CN2020/108716
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English (en)
Inventor
Heqing SUN
Zhanchi LIU
Jiafan ZHANG
Original Assignee
Abb Schweiz Ag
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Publication date
Application filed by Abb Schweiz Ag filed Critical Abb Schweiz Ag
Priority to PCT/CN2020/108716 priority Critical patent/WO2022032529A1/fr
Publication of WO2022032529A1 publication Critical patent/WO2022032529A1/fr

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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
    • F16H61/12—Detecting malfunction or potential malfunction, e.g. fail safe; Circumventing or fixing failures
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H61/00—Control functions within control units of change-speed- or reversing-gearings for conveying rotary motion ; Control of exclusively fluid gearing, friction gearing, gearings with endless flexible members or other particular types of gearing
    • F16H61/12—Detecting malfunction or potential malfunction, e.g. fail safe; Circumventing or fixing failures
    • F16H2061/1208—Detecting malfunction or potential malfunction, e.g. fail safe; Circumventing or fixing failures with diagnostic check cycles; Monitoring of failures
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/36—Inputs being a function of speed
    • F16H59/38—Inputs being a function of speed of gearing elements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/36—Inputs being a function of speed
    • F16H59/38—Inputs being a function of speed of gearing elements
    • F16H59/40—Output shaft speed
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/36—Inputs being a function of speed
    • F16H59/38—Inputs being a function of speed of gearing elements
    • F16H59/42—Input shaft speed
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
    • F16H—GEARING
    • F16H59/00—Control inputs to control units of change-speed-, or reversing-gearings for conveying rotary motion
    • F16H59/68—Inputs being a function of gearing status
    • F16H59/70—Inputs being a function of gearing status dependent on the ratio established

Definitions

  • Embodiments of the present disclosure generally relate to a method for fault diagnosis, an electronic device and a computer readable storage medium.
  • a variety of industrial applications comprise gearboxes.
  • an eventual failure of the gearbox is the result of continued cycling of a component in which defects have already occurred.
  • defects may include cracks or other deformations of the component in the gearbox.
  • a fault diagnosis device has been proposed to diagnose faults of the gearbox.
  • Such a fault diagnosis device may be established based on data model (such as a neural network) or statistical model, while it usually requires inputting the speed of an input shaft and the tooth number of the gear of the gearbox to perform a diagnosis.
  • data model such as a neural network
  • statistical model such as a neural network
  • these parameters are often unavailable to the user, especially the tooth number of the gear. Therefore, there is a need for an improved approach for fault diagnosis of the gearbox.
  • a method for fault diagnosis that can be implemented easily and reliably.
  • an improved fault diagnosis method and an associated electronic device According to implementations of the subject matter described herein, there is provided an improved fault diagnosis method and an associated electronic device.
  • a method for fault diagnosis comprises: obtaining a gear ratio of a gearbox and information about a speed of an input shaft of the gearbox; in response to receiving a signal indicative of motion characteristics of the gearbox, obtaining frequency-domain information of the signal; determining the speed of the input shaft, a speed of an output shaft of the gearbox and a speed of a middle shaft of the gearbox based on the information about the speed of the input shaft, the frequency-domain information of the signal and the gear ratio, the middle shaft being arranged between the input and output shafts; and detecting a fault that occurred in the gearbox at least based on the speeds of the input, output and middle shafts.
  • an electronic device comprising: at least one processing unit; and at least one memory coupled to the at least one processing unit and storing instructions executable by the at least one processing unit, the instructions, when executed by the at least one processing unit, causing the device to perform acts comprising: obtaining a gear ratio of a gearbox and information about a speed of an input shaft of the gearbox; in response to receiving a signal indicative of motion characteristics of the gearbox, obtaining frequency-domain information of the signal; determining the speed of the input shaft, a speed of an output shaft of the gearbox and a speed of a middle shaft of the gearbox based on the information about the speed of the input shaft, the frequency-domain information of the signal and the gear ratio, the middle shaft being arranged between the input and output shafts; and detecting a fault that occurred in the gearbox at least based on the speeds of the input, output and middle shafts.
  • a computer readable storage medium has computer readable program instructions stored thereon which, when executed by a processing unit, cause the processing unit to perform acts comprising: obtaining a gear ratio of a gearbox and information about a speed of an input shaft of the gearbox; in response to receiving a signal indicative of motion characteristics of the gearbox, obtaining frequency-domain information of the signal; determining the speed of the input shaft, a speed of an output shaft of the gearbox and a speed of a middle shaft of the gearbox based on the information about the speed of the input shaft, the frequency-domain information of the signal and the gear ratio, the middle shaft being arranged between the input and output shafts; and detecting a fault that occurred in the gearbox at least based on the speeds of the input, output and middle shafts.
  • FIG. 1 illustrates an environment in which implementations of the subject matter described herein may be employed
  • Fig. 2 illustrates a flowchart of an example method in accordance with some embodiments of the present disclosure
  • Fig. 3 shows a schematic diagram of a signal indicative of motion characteristics of a gearbox
  • Fig. 4 illustrates a schematic block diagram of an example device adapted to implement embodiments of the present disclosure.
  • the term “includes” and its variants are to be read as open terms that mean “includes, but is not limited to. ”
  • the term “based on” is to be read as “based at least in part on. ”
  • the terms “an implementation” and “one implementation” are to be read as “at least one implementation. ”
  • the term “another implementation” is to be read as “at least one other implementation. ”
  • the term “first, ” “second, ” and the like may refer to different or the same objects. Other definitions, either explicit or implicit, may be included below.
  • Fault diagnosis devices are usually used to monitor a gearbox. Such fault diagnosis devices often require the user to input the information about the speed of the input shaft and the gear tooth number of the gearbox. As these parameters are often unavailable to the user, especially the tooth number of the gearbox, the traditional fault diagnosis devices may be inapplicable to the gearbox under certain circumstance where the tooth number is unknown.
  • an improved fault diagnosis device is provided.
  • the robustness of the fault diagnosis device is improved and the input parameters for the fault diagnosis device are simplified, making the fault diagnosis device applicable to certain circumstance where the tooth number is unknown.
  • the fault diagnosis device can estimate or determine the inherent parameters of the gearbox, such as the tooth number of the gears and/or the speed of the middle shaft.
  • Fig. 1 illustrates an environment 100 in which embodiments of the subject matter described herein may be employed.
  • the environment 100 is illustrated as a fault diagnosis environment comprising a fault diagnosis device 110, a user interface 120 and a gearbox 130.
  • the gearbox 130 comprises an input shaft 103, a middle shaft 113 and an output shaft 123.
  • the middle shaft 113 is arranged between the input shaft 103 and output shaft 123.
  • the gears 131, 132, 133 and 134 are provided within the housing of the gearbox 130.
  • the gearbox 130 is a two-stage gearbox.
  • the first reduction stage comprises the gears 131, 132
  • the second reduction stage comprises the gears 133, 134.
  • the gear 131 is mounted on the input shaft 103 and the gear 134 is mounted on the output shaft 123.
  • the gears 132 and 133 are mounted on the middle shaft 113 spaced apart from each other such that the gear 132 meshes with gear 131 and the gear 133 meshes with gear 134.
  • the information required for diagnosing the gearbox 130 may be inputted via the user interface 120.
  • this information comprises inherent parameters of the gearbox 130, such as the tooth number of each gear 131, 132, 133 and 134 of the gearbox 130, and/or an actual speed of the input shaft 103.
  • the actual speed of the input shaft 103 and/or the tooth numbers of the gears 131-134 are usually unknown, which makes the traditional fault diagnosis for the gearbox 130 incapable of being performed.
  • an improved fault diagnosis method can perform a diagnosis without requiring the tooth number, while it can estimate or determine the inherent parameters of the gearbox, such as the tooth number of the gears, and the speed of the middle shaft.
  • Fig. 2 shows a flowchart of an example method 200 in accordance with some embodiments of the present disclosure.
  • the fault diagnosis device 110 obtains a gear ratio r of the gearbox 130 and information about a speed of the input shaft 103 of the gearbox 130.
  • the fault diagnosis device 110 may be a general-purpose computer, a physical computing device, or a portable electronic device, or may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communication network.
  • the information may indicate an actual speed of the input shaft 103.
  • the actual speed of the input shaft 103 may be sensed by a rotation sensor associated with the gear box 130.
  • the rotation sensor may be arranged outside a housing of the gearbox 130 or attached to the housing of the gearbox 130.
  • the rotation sensor that measures the revolutions of the input shaft 103 may be a tachometer, an encoder, etc.
  • the information may indicate a maximum allowable speed of the input shaft 103 and/or a rated speed of the input shaft 103.
  • the maximum allowable speed and/or the rated speed of the input shaft 103 can be obtained from a nameplate of the gearbox 130.
  • a user may read out the maximum allowable speed or the rated speed of the input shaft 130 from the nameplate and then input the above information through the user interface 120.
  • the information inputted by the user may be transmitted to the fault diagnosis device 110 via a cable or a short-range wireless communication technology, such as a wireless Bluetooth connection or a wireless local area network (WLAN) Network.
  • a short-range wireless communication technology such as a wireless Bluetooth connection or a wireless local area network (WLAN) Network.
  • the fault diagnosis device 110 may obtain the maximum allowable speed or the rated speed by means of a sensor.
  • the sensor such as a camera, may sense and identify the data recorded on the nameplate of the gearbox 130 and then transmit the identified value of the maximum allowable speed or the rated speed to the fault diagnosis device 110.
  • the gear ratio r of the gearbox 130 is required to perform the fault diagnosis.
  • the gear ratio r is often recorded on the nameplate of the gearbox 130.
  • the user may read out the gear ratio r from the nameplate and then input the gear ratio r through the user interface 120.
  • the user interface 120 may transmit the gear ratio r to the fault diagnosis device 110 via a cable or a short-range wireless communication technology, such as a wireless Bluetooth connection or a wireless local area network (WLAN) Network.
  • a sensor such as a camera, may sense and identify the gear ratio r recorded on the nameplate of the gearbox 130 and then transmit the identified gear ratio to the fault diagnosis device 110.
  • the fault diagnosis device 110 obtains frequency-domain information of the signal.
  • signal analyzers can be used to obtain frequency and/or amplitude information from the signal.
  • a signal about motion characteristics of the gearbox 130 may be characteristic of regular operation of the gearbox 130 and the measured signal can be used by the fault diagnosis device 110 to perform the fault diagnosis.
  • the signal comprises, but is not limited to, at least one of the following: a vibration signal associated with the gearbox 130, a current signal associated with the speed of the input shaft 103, or a torque signal associated with torque of the output shaft 123 of the gearbox.
  • the fault diagnosis device 110 may receive the signal from at least one sensor, such as an accelerometer which measures vibration waveforms of the gearbox 130, a current sensor which measures current waveforms inputted to a motor that drives the input shaft 103, or a torque sensor which measures torque waveforms of the output shaft 123.
  • the at least one sensor may be attached to the housing of the gearbox 130, and thereby can sense the signal of the gearbox 130.
  • the at least one sensor then transmits the signal to the fault diagnosis device 110 via a cable or via a short-range wireless communication technology, such as a wireless Bluetooth connection or a wireless local area network (WLAN) Network.
  • a short-range wireless communication technology such as a wireless Bluetooth connection or a wireless local area network (WLAN) Network.
  • the fault diagnosis device 110 could obtain a frequency-domain information of the signal.
  • the fault diagnosis device 110 may transfer the signal in time-domain by means of Fourier Transform technology, such as Fast Fourier Transform, so as to obtain a spectrum of the signal in frequency-domain.
  • the fault diagnosis device 110 may obtain a spectrum of an envelope of the signal.
  • the spectrum of the envelope of the signal may be also referred to as a spectrum of the signal envelope.
  • the spectrum of the signal envelope can be obtained by: enveloping the signal in time-domain, and then transforming the enveloped signal into a signal in frequency-domain using Fast Fourier Transform.
  • the fault diagnosis device 110 determines the speed of the input shaft 103, a speed of the output shaft 123 and a speed of the middle shaft 113 of the gearbox 130 based on the information, the frequency-domain information of the signal and the gear ratio r of the gearbox 130.
  • the fault diagnosis device 110 may determine the speed of the input shaft 103 based on the information indicating the actual speed of the input shaft 103. As discussed above, the actual speed may be sensed by the rotation sensor. As such, the fault diagnosis device 110 may determine the speed of the input shaft 103 based on the information received directly.
  • the actual speed of the input shaft 103 is not sensed by any rotation sensor, which means the actual speed of the input shaft 103 is unknown.
  • the fault diagnosis device 101 can still perform the fault diagnosis of the gearbox 130.
  • the fault diagnosis device 110 can determine the speed of the input shaft 103 based on the information indicating the maximum allowable speed or the rated speed of the input shaft 103, and the frequency-domain information of the signal.
  • the fault diagnosis device 110 may determine a frequency f max corresponding to the maximum allowable speed.
  • the fault diagnosis device 110 may further determine a first gear mesh frequency f GM1 of the gears 131, 132 and/or a second gear mesh frequency f GM2 of the gears 133, 134 based on the frequency-domain information.
  • the first gear mesh frequency f GM1 and the second gear mesh frequency f GM2 may be determined based on the peaks in the spectrum of the signal. Specifically, the frequencies f GM1 , f GM2 are always the dominant peaks in the spectrum of the signal. Moreover, the harmonics of the frequencies f GM1 , f GM2 are visible in the spectrum of the signal.
  • the fault diagnosis device 110 may determine a frequency f in corresponding to the speed of the input shaft 103 based on the frequency-domain information of the signal. In some embodiments, the fault diagnosis device 110 may determine the frequency f in based on sidebands around m ⁇ f GM1 in the spectrum of the signal, where the interval of the sidebands is smaller than f max . As used herein, the factor m is an integer larger than or equal to one.
  • the fault diagnosis device 110 may determine the frequency f in based on the envelope of the signal.
  • the fault diagnosis device 110 may determine the frequency f in based on harmonics of a specific frequency f s in the envelope of the signal, where the frequency f s is the maximum one among the frequencies smaller than f max , and the harmonics of the specific frequency f s do not belong to harmonics corresponding to any other frequencies instead of f s .
  • the fault diagnosis device 110 may determine a frequency f rated corresponding to rated speed of the input shaft 103.
  • the fault diagnosis device 110 may further determine the frequency f in based on harmonics in the spectrum of the signal around n ⁇ f rated .
  • the factor n is an integer larger than or equal to one.
  • the fault diagnosis device 110 may determine the frequency f in based on sidebands around m ⁇ f GM2 ⁇ n ⁇ f rated . Based on the frequency f in , the speed of the input shaft 103 may be determined directly by the fault diagnosis device 110.
  • a frequency f out corresponding to the speed of the output shaft 123 can be determined.
  • the fault diagnosis device 110 may determine the speed of the output shaft 123 based on the frequency f out directly.
  • the frequency f out may be further verified by at least one of the following: (a) there are harmonics in the spectrum of the signal in relation to the frequency n ⁇ f out ; (b) there are sidebands around m ⁇ f GM2 ⁇ n ⁇ f out .
  • the speed of the middle shaft 113 can be determined by the fault diagnosis device 110. In some embodiments, the speed of the middle shaft 113 can be determined based on the speed of the input shaft 103, the speed of the output shaft 123 and the spectrum of the signal.
  • the fault diagnosis device 110 may determine a frequency f mid corresponding to the speed of the middle shaft 113 based on the sidebands around m ⁇ f GM1 and m ⁇ f GM2 in the spectrum of the signal, where the interval of the sidebands is between the frequency f in and the frequency f out . The fault diagnosis device 110 may then determine the speed of the middle shaft 113 based on the frequency f mid directly.
  • the speed of the middle shaft 113 can be determined based on the speed of the input shaft 103, the speed of the output shaft 123 and the envelope of the signal.
  • the fault diagnosis device 110 may determine the frequency f mid based on harmonics of a specific frequency between the frequency f in and the frequency f out in the envelope of the signal.
  • the tooth numbers of the gears 131, 132, 133 and 134 can be determined by the fault diagnosis device 110.
  • the fault diagnosis device 110 may determine the tooth numbers of the gears 131, 132, 133 and 134 based on the speeds of the input, output and middle shaft 103, 113 123, and the frequency-domain information of the signal.
  • the fault diagnosis device 110 may determine the tooth numbers of the gears 131, 132, 133 and 134 based on the frequencies f in , f out , f mid , f GM1 , f GM2 .
  • the tooth number Z 1 , Z 2 , Z 4 of each of the gears 131, 132, 134 may be determined by the equations:
  • the tooth number Z 3 of the gear 133 may be determined by the gear ratio r and Z 1 , Z 2 , Z 4 .
  • the fault diagnosis device 110 may further refine the frequencies f in , f out , f mid .
  • the fault diagnosis device 110 may refine the frequencies f in , f out , f mid to obtain refined frequenciesf′ in , f′ mid , f′ out based on the equations:
  • the corresponding refined speeds of the input, output and middle shafts 103, 113, 123 may be determined by the fault diagnosis device 110.
  • gearbox 130 of two-stage is described above, it should be understood that the gearbox 130 is not limited to this two-stage gearbox.
  • a gearbox of one, three or more stages may be diagnosed by the fault diagnosis device 110 as well.
  • the reduction stage of the gearbox 130 is set to a default value, such as one, two or three.
  • the reduction stage of the gearbox 130 may be inputted by the user through the user interface 120.
  • the fault diagnosis device 110 may obtain the number of reduction stages of the gearbox, and determine the speeds of the input, output and middle shafts 103, 113, 123 further based on the number of reduction stages of the gearbox.
  • the fault diagnosis device 110 can detect a fault that occurred in the gearbox 130 at least based on the speeds of the input, output and middle shafts 103, 113, 123.
  • the fault diagnosis device 110 may detect whether a fault has occurred in the gearbox 130 further based on the frequency-domain information of the signal. In some embodiments, the fault diagnosis device 110 may determine the peak values or Signal-to-Noise Ratio (SNR) values of the sidebands in the spectrum of the signal associatedwith the frequencies f′ in , f′ mid , f′ out and f GM1 , f GM2 . The fault diagnosis device 110 may then detect that a fault occurred in the gearbox 130 based on the peak values or SNR values of the sidebands.
  • SNR Signal-to-Noise Ratio
  • the fault diagnosis device 110 may detect that a fault occurred in the gearbox 130 based on a fault diagnosis model.
  • a “fault diagnosis model” is a machine learning model, which may also be referred to as a “learning model” , “learning network” , “network model” , or “model. ”
  • a deep learning model is one example machine learning model, examples of which include a “neural network. ”
  • the fault diagnosis model is learned from training data and associated labeling information indicating the status of a component of the gearbox (i.e., healthy or faulty) .
  • a machine learning model represents an association between the input data and output results. As such, information can be learned from the training data to implement a highly automated diagnosis of the input data.
  • the fault diagnosis device 110 may utilize the speeds of the input, output and middle shafts 103, 113, 123, and/or the peak values, and/or SNR values of the sidebands as the input data of the fault diagnosis model.
  • the fault diagnosis device 110 may detect a fault that occurred in the gearbox 130 based on an output result of the fault diagnosis model.
  • any other known technologies suitable to diagnose the gearbox 130 would be applicable as well, because the speeds of input, output and middle shafts 103, 113, 123, even the tooth numbers of the gears of the gearbox, have been determined automatically by the fault diagnosis device 110.
  • the robustness of the fault diagnosis device 110 is improved and the input parameters required to the fault diagnosis device 110 are simplified, making the fault diagnosis device 110 applicable to any certain circumstance.
  • the fault diagnosis device 110 can estimate or determine the inherent parameters of the gearbox, such as the tooth numbers of the gears and/or the speed of the middle shaft.
  • Fig. 3 shows a schematic diagram of the signal indicative of motion characteristics of the gearbox, in which the x axis represents frequency f and the y axis represents the amplitude of the spectrum. It can be determined from Fig. 3 that the two dominant peaks correspond to the first and second gear mesh frequencies f GM1 , f GM2 , respectively.
  • Fig. 4 shows a schematic block diagram of an example device 400 adapted to implement embodiments of the present disclosure.
  • the fault diagnosis device 110 as shown in Fig. 1 may be implemented by the device 400.
  • the device 400 comprises a processor 401 that may perform various appropriate actions and processing based on computer program instructions stored in a read-only memory (ROM) 402 or computer program instructions loaded from a storage section 408 to a random access memory (RAM) 403.
  • ROM read-only memory
  • RAM random access memory
  • various programs and data needed for operations of the device 400 are further stored.
  • the processor 401, ROM 402 and RAM 403 are connected to each other via a bus 404.
  • An input/output (I/O) interface 405 is also connected to the bus 404.
  • the following components in the device 400 are connected to the I/O interface 405: an input unit 406, such as a keyboard, a mouse and the like; an output unit 407, such as various kinds of displays and a loudspeaker, etc.; a memory unit 408, such as a magnetic disk, an optical disk, etc.; a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc.
  • the communication unit 409 allows the device 400 to exchange information/data with other devices through a computer network such as the Internet and/or various kinds of telecommunications networks.
  • the method 400 may be implemented as a computer software program that is tangibly embodied on a machine readable medium, e.g., the storage unit 408.
  • part or all of the computer programs may be loaded and/or mounted onto the device 400 via ROM 402 and/or communication unit 409.
  • the computer program is loaded to the RAM 403 and executed by the processor 401, one or more acts of the method 400 or 400 as described above may be executed.
  • the present disclosure may be a method, a device, a system, and/or a computer program product.
  • the computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for performing aspects of the present disclosure.
  • the computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device.
  • the computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • a non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM) , a read-only memory (ROM) , an erasable programmable read-only memory (EPROM or Flash memory) , a static random access memory (SRAM) , a portable compact disc read-only memory (CD-ROM) , a digital versatile disk (DVD) , a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing.
  • RAM random access memory
  • ROM read-only memory
  • EPROM or Flash memory erasable programmable read-only memory
  • SRAM static random access memory
  • CD-ROM compact disc read-only memory
  • DVD digital versatile disk
  • memory stick a floppy disk
  • a mechanically encoded device such as punch-cards or raised structures in a groove having instructions
  • a computer readable storage medium is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable) , or electrical signals transmitted through a wire.
  • Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network.
  • the network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers.
  • a network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device.
  • Computer readable program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++ or the like, and conventional procedural programming languages, such as the “C” programming language or similar programming languages.
  • the computer readable program instructions may execute entirely on the user’s computer, partly on the user’s computer, as a stand-alone software package, partly on the user’s computer and partly on a remote computer or entirely on the remote computer or server.
  • the remote computer may be connected to the user’s computer through any type of network, including a local area network (LAN) or a wide area network (WAN) , or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider) .
  • the electronic circuitry can be customized by utilizing state information of the computer readable program instructions, for example, programmable logic circuitry, field-programmable gate arrays (FPGA) , or programmable logic arrays (PLA) .
  • the electronic circuitry may execute the computer readable program instructions, in order to perform aspects of the present disclosure.
  • These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
  • These computer readable program instructions may also be stored in a computer readable storage medium that can enable a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture, which includes instructions implementing aspects of the function/act specified in block or blocks of the flowchart and/or block diagram.
  • the computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatuses, or other device to cause a series of operational steps to be performed on the computer, other programmable data processing apparatuses or other devices to produce a computer implemented process, such that the instructions which execute on the computer, other programmable data processing apparatuses, or other devices implement the functions/acts specified in block or blocks of the flowchart and/or block diagram.
  • each block in the flowchart or block diagrams may represent a module, snippet, or portion of instruction, which comprises one or more executable instructions for implementing the specified logical function (s) .
  • the functions noted in the block may occur in a different order than noted in the figures.
  • two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved.

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  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)

Abstract

Procédé de diagnostic de défaillance. Le procédé consiste : à obtenir un rapport de vitesses d'une boîte de vitesses et des informations concernant un régime d'un arbre d'entrée de la boîte de vitesses; en réponse à la réception d'un signal indiquant les caractéristiques de mouvement de la boîte de vitesses, à obtenir des informations dans le domaine fréquentiel du signal; à déterminer le régime de l'arbre d'entrée, un régime d'un arbre de sortie de la boîte de vitesses et un régime d'un arbre intermédiaire de la boîte de vitesses en fonction des informations concernant le régime de l'arbre d'entrée, des informations dans le domaine fréquentiel du signal et du rapport de vitesses, l'arbre intermédiaire étant disposé entre les arbres d'entrée et de sortie; et à détecter une défaillance survenue dans la boîte de vitesses au moins en fonction des régimes des arbres d'entrée, de sortie et intermédiaire. La simplification des paramètres d'entrée du dispositif de diagnostic de défaillance permet d'améliorer l'efficacité et l'applicabilité du dispositif de diagnostic de défaillance.
PCT/CN2020/108716 2020-08-12 2020-08-12 Procédé, dispositif électronique et support de stockage lisible par ordinateur pour diagnostic de défaillance WO2022032529A1 (fr)

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