Compressor fault diagnosis method and device, storage medium, air conditioner and program product

Abstract

The invention provides a compressor fault diagnosis method and device, a storage medium, an air conditioner and a program product. The method comprises the steps that vibration signals of a compressor in different working modes are collected; performing wavelet decomposition on the collected vibration signals to obtain a histogram of the ratio of the energy of each frequency band to the total energy; and matching the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor. According to the scheme provided by the invention, compressor fault diagnosis can be realized.

Description

Technical Field

[0001] The present invention relates to the field of control, and in particular to a compressor fault diagnosis method, device, storage medium, air conditioner and program product. Background Art

[0002] The air conditioning compressor is the most important and core component of the air conditioner. It is responsible for compressing and transporting the refrigerant. The improvement of the energy efficiency of the refrigeration system depends largely on the efficiency of the compressor. Rolling rotor compressors are widely used in household air conditioners due to their overall light weight, small size, simple internal structure, and high balance during operation. Once a rolling rotor compressor fails, it may cause abnormal sounds, noise, and vibration, affecting the consumer's experience. In severe cases, it may cause poor performance or operation failure, and even cause safety hazards. Summary of the invention

[0003] The main purpose of the present invention is to overcome the defects of the above-mentioned related technologies and provide a compressor fault diagnosis method, device, storage medium, air conditioner and program product to solve the problem of compressor fault diagnosis in the related technologies.

[0004] On the one hand, the present invention provides a compressor fault diagnosis method, comprising: collecting vibration signals of the compressor in different working modes; performing wavelet decomposition on the collected vibration signals to obtain a histogram of the ratio of the energy of each frequency band to the total energy; matching the obtained histogram with a standard histogram corresponding to different fault types to obtain the fault type of the compressor.

[0005] Optionally, performing wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of energy in each frequency band to the total energy includes: performing wavelet decomposition on the collected vibration signal to obtain energy in the time domain for:

[0006]

[0007] Optionally, the standard histograms corresponding to the different fault types are obtained in the following manner: obtaining vibration signals when the compressor has faults of different fault types under different operating modes; performing wavelet decomposition on the obtained vibration signals to obtain the energy of each frequency band of the vibration signals of the faults of different fault types; and using the obtained histogram of the ratio of the energy of each frequency band of the vibration signals of the faults of different fault types to the total energy as the standard histogram corresponding to the different fault types.

[0008] Optionally, the obtained histogram is matched with standard histograms corresponding to different fault types to obtain the fault type of the compressor, including: obtaining a fit between the obtained histogram and the standard histograms corresponding to different fault types through a fitting algorithm; and outputting the fault type and accuracy of the compressor based on the fit between the obtained histogram and a preset standard histogram corresponding to different fault types.

[0009] Optionally, it also includes: judging whether the accuracy rate is higher than a preset threshold; if it is judged that the accuracy rate is higher than the preset threshold, issuing a corresponding prompt message.

[0010] On the other hand, the present invention provides a compressor fault diagnosis device, including: an acquisition unit, used to collect vibration signals of the compressor in different working modes; a processing unit, used to perform wavelet decomposition on the collected vibration signals to obtain a histogram of the ratio of the energy of each frequency band to the total energy; and a diagnosis unit, used to match the obtained histogram with a standard histogram corresponding to different fault types to obtain the fault type of the compressor.

[0011] Optionally, the processing unit performs wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of the energy of each frequency band to the total energy, including: performing wavelet decomposition on the collected vibration signal to obtain the energy in the time domain for:

[0012]

[0013] Optionally, the standard histograms corresponding to the different fault types are obtained in the following manner: obtaining vibration signals when the compressor has faults of different fault types under different operating modes; performing wavelet decomposition on the obtained vibration signals to obtain the energy of each frequency band of the vibration signals of the faults of different fault types; and using the obtained histogram of the ratio of the energy of each frequency band of the vibration signals of the faults of different fault types to the total energy as the standard histogram corresponding to the different fault types.

[0014] Optionally, the diagnostic unit matches the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor, including: obtaining a fit between the obtained histogram and the standard histograms corresponding to different fault types through a fitting algorithm; and outputting the fault type and accuracy of the compressor based on the fit between the obtained histogram and a preset standard histogram corresponding to different fault types.

[0015] Optionally, it also includes: a judgment unit, used to judge whether the accuracy rate is higher than a preset threshold; and a prompt unit, used to issue a corresponding prompt message if the judgment unit judges that the accuracy rate is higher than the preset threshold.

[0016] Another aspect of the present invention provides a storage medium having a computer program stored thereon, wherein the program implements the steps of any of the aforementioned methods when executed by a processor.

[0017] In another aspect, the present invention provides an air conditioner, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the aforementioned methods when executing the program.

[0018] In another aspect, the present invention provides an air conditioner, comprising any one of the above-mentioned compressor fault diagnosis devices.

[0019] In yet another aspect, the present invention provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the steps of any of the aforementioned methods are implemented.

[0020] According to the technical solution of the present invention, compressor fault diagnosis is performed based on vibration signal analysis of wavelet packet-energy spectrum, which can realize compressor fault diagnosis under limited data conditions and has high generalization ability.

[0021] According to the technical solution of the present invention, it is possible to implement status monitoring of the compressor in all stages from production line to user installation and use, thereby improving the yield rate of air conditioners and facilitating user repair and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0023] Figure 1 is a method schematic diagram of an embodiment of a compressor fault diagnosis method provided by the present invention;

[0024] Figure 2 A flowchart showing a specific implementation of the step of matching the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor according to the present invention;

[0025] Figure 3 A system schematic diagram of a specific embodiment of the fault diagnosis system of the present invention is shown;

[0026] Figure 4 A flowchart of a specific embodiment of a compressor fault diagnosis method according to the present invention is shown;

[0027] Figure 5 It is a structural block diagram of an embodiment of a compressor fault diagnosis device provided by the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] Compressors usually have problems that cannot be visually detected during production, abnormal operating conditions caused by improper installation, and problems that cannot be monitored after long-term use. Compressors are the most expensive of all air conditioner failure repairs, accounting for about 24% of the repair costs. The quality losses and claims caused by the failure of air conditioner compressors in the terminal market have a huge impact on both air conditioner manufacturers and compressor manufacturers. For defective compressors, according to the process of failure, they can be divided into failures caused by the compressor production process, such as stator wire damage, compressor welding leakage, foreign matter entering the cylinder, etc.; failures caused by the production, installation, use, and maintenance process of the air conditioner, such as liquid hammer, wrong system wiring, system foreign matter, system welding blockage, system refrigerant leakage, system voltage abnormality, system overload operation, system vacuum operation, poor system oil return, system moisture entry, air entry, etc.

[0031] The present invention provides a compressor fault diagnosis method. The method is mainly used for a rolling rotor compressor, which can be a compressor of an air conditioning system.

[0032] Figure 1 It is a method schematic diagram of an embodiment of a compressor fault diagnosis method provided by the present invention.

[0033] like Figure 1 As shown, according to one embodiment of the present invention, the compressor fault diagnosis method at least includes step S110, step S120 and step S130.

[0034] Step S110, collecting vibration signals of the compressor in different working modes.

[0035] Specifically, the vibration signal of the compressor when it is working can be collected by the data collection module.

[0036] When the compressor is a compressor of an air-conditioning system, the air-conditioning system has two working states: cooling and heating, and supports wind speed and mode adjustment. Therefore, the vibration signal of the compressor in different working modes can be collected.

[0037] Step S120, performing wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of the energy of each frequency band to the total energy.

[0038] Specifically, the collected vibration signal is decomposed by wavelet to obtain the energy in the time domain, which is expressed in equation (1):

[0039]

[0040] in, is the energy in the time domain, that is, the energy of each frequency band; a represents the decomposed frequency band, b represents the decomposed sub-band, W f (a,b) represents the wavelet subspace of the signal time domain energy, which refers to the signal of the b subband under the a band. By solving the double integral of a and b respectively, the energy of the subband of the band can be obtained. The energy of each subband of the band is integrated in turn to obtain the total energy of the band. The total energy of each band is summed to obtain the total energy W(G). In the wavelet packet energy spectrum, the square sum of the signals of each band can represent the spatial energy W(G), that is, the total energy, and the expression is:

[0041]

[0042] After using wavelet packets to decompose the signal, the obtained signal bandwidth is equal. The decomposition results of each frequency band are used as energy spectrum input to obtain a histogram of the ratio of the energy of each frequency band to the total energy.

[0043] In the wavelet transform process, the 2-norm of the vibration signal The energy in the time domain is equal to the bandwidth. The ratio of the energy of each frequency band to the total energy can intuitively analyze the characteristic frequency band of the vibration signal. The histogram of the ratio of the energy of each frequency band signal to the total energy can reflect the distribution of the energy of each frequency band, and the fault type can be determined based on the distribution.

[0044] Step S130, matching the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor.

[0045] Specifically, the standard histograms corresponding to the different fault types are obtained in the following manner: obtaining vibration signals when the compressor has faults of different fault types under different working modes; performing wavelet decomposition on the obtained vibration signals to obtain the energy of each frequency band of the vibration signals of the faults of different fault types; and using a histogram of the ratio of the energy of each frequency band of the vibration signals of the faults of different fault types as the standard histogram corresponding to the different fault types.

[0046] Figure 2 A flowchart of a specific implementation of the step of matching the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor according to the present invention is shown. Figure 2 As shown, in a specific implementation, step S130 includes: step S131 and step S132.

[0047] Step S131, obtaining a fitting degree by fitting the obtained histogram and standard histograms corresponding to different fault types through a fitting algorithm.

[0048] Step S132: outputting the fault type and accuracy of the compressor according to the degree of fit between the obtained histogram and preset standard histograms corresponding to different fault types.

[0049] Specifically, a data set of fault vibration signals of different fault types marked in advance is obtained, and a histogram of the ratio of energy of each frequency band to total energy is obtained by wavelet decomposition of the fault vibration signals in the data set as a standard histogram corresponding to different fault types, and the obtained histogram is matched with the standard histogram corresponding to different fault types through a fitting algorithm to obtain a degree of fit, and the fault type and accuracy are output. For example, the obtained standard histogram corresponding to different fault types is used for model training (such as a neural network model) to obtain a fault diagnosis model, and the obtained histogram is input into the fault diagnosis model and matched with the standard histogram corresponding to different fault types through a fitting algorithm to obtain a degree of fit, and the fault type and accuracy are output.

[0050] Optionally, based on the degree of fit between the obtained histogram and a preset standard histogram corresponding to different fault types, the fault type and accuracy of the compressor are output; it is determined whether the accuracy is higher than a preset threshold; when the accuracy is higher than the preset threshold, a corresponding prompt message is issued.

[0051] Specifically, the faults are divided according to size and type, and different fault types and health conditions are set as the meta-training set. The vibration signal when the air-conditioning compressor fails (the histogram of the ratio of the energy of each frequency band to the total energy obtained after wavelet packet decomposition) is fitted with the histogram of the ratio of the energy of each frequency band to the total energy obtained after wavelet decomposition of the fault vibration signal of different fault types in the meta-training set, and the accuracy of the fault diagnosis system is obtained. The judgment conditions are set, and when the accuracy is higher than a certain threshold, a prompt message is issued, such as feedback warnings to users and after-sales personnel to avoid more serious consequences.

[0052] Figure 3 FIG. 1 shows a schematic diagram of a system using a specific embodiment of the fault diagnosis system of the present invention. The hardware part of the present invention may include a data acquisition module, a communication module and a fault diagnosis system. Figure 3 As shown, the data acquisition module is used to collect and store the status data of the compressor during operation; the vibration sensor is used to collect the vibration signal of the compressor; the communication module is used to send the data collected by the data acquisition module to the fault diagnosis system; the fault diagnosis system is used to monitor the operating status signal of the compressor collected by the fault acquisition module. If an abnormal state is detected, the fault type is obtained according to the diagnosis detection algorithm and fed back to the user and after-sales personnel.

[0053] Figure 4 The flowchart of a specific embodiment of the compressor fault diagnosis method according to the present invention is shown. The vibration signal input is fitted with the fault data set (fault vibration signal data set) under various working modes acquired in advance, and the accuracy is judged. When the accuracy is higher than a certain threshold, the fault alarm and fault type are output.

[0054] The present invention provides a compressor fault diagnosis device. The device is mainly used for a rolling rotor compressor, which can be a compressor of an air conditioning system.

[0055] Figure 5 FIG. 1 is a structural block diagram of an embodiment of a compressor fault diagnosis device provided by the present invention. Figure 5 As shown, the compressor fault diagnosis device 100 includes: a collection unit 110 , a processing unit 120 and a diagnosis unit 130 .

[0056] The collecting unit 110 is used to collect vibration signals of the compressor in different working modes.

[0057] Specifically, the vibration signal of the compressor when it is working can be collected by the data collection module.

[0058] When the compressor is a compressor of an air-conditioning system, the air-conditioning system has two working states: cooling and heating, and supports wind speed and mode adjustment. Therefore, the vibration signal of the compressor in different working modes can be collected.

[0059] The processing unit 120 is used to perform wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of the energy of each frequency band to the total energy.

[0060] Specifically, the collected vibration signal is decomposed by wavelet to obtain the energy in the time domain, which is expressed in equation (1):

[0061]

[0062] in, is the energy in the time domain, that is, the energy of each frequency band; a represents the decomposed frequency band, b represents the decomposed sub-band, W f (a,b) represents the wavelet subspace of the signal time domain energy, which refers to the signal of the b subband under the a band. By solving the double integral of a and b respectively, the energy of the subband of the band can be obtained. The energy of each subband of the band is integrated in turn to obtain the total energy of the band. The total energy of each band is summed to obtain the total energy W(G). In the wavelet packet energy spectrum, the square sum of the signals of each band can represent the spatial energy W(G), that is, the total energy, and the expression is:

[0063]

[0064] After using wavelet packets to decompose the signal, the obtained signal bandwidth is equal. The decomposition results of each frequency band are used as energy spectrum input to obtain a histogram of the ratio of the energy of each frequency band to the total energy.

[0065] In the wavelet transform process, the 2-norm of the vibration signal The energy in the time domain is equal to the bandwidth. The ratio of the energy of each frequency band to the total energy can intuitively analyze the characteristic frequency band of the vibration signal. The histogram of the ratio of the energy of each frequency band signal to the total energy can reflect the distribution of the energy of each frequency band, and the fault type can be determined based on the distribution.

[0066] The diagnosis unit 130 is used to match the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor.

[0067] Specifically, the standard histograms corresponding to the different fault types are obtained in the following manner: obtaining vibration signals when the compressor has faults of different fault types; performing wavelet decomposition on the obtained vibration signals to obtain the energy of each frequency band of the vibration signals of the faults of different fault types; and using a histogram of the ratio of the energy of each frequency band of the vibration signals of the faults of different fault types as the standard histogram corresponding to the different fault types.

[0068] In a specific implementation, the obtained histogram is matched with a standard histogram corresponding to different fault types through a fitting algorithm to obtain a fitting degree. According to the fitting degree between the obtained histogram and a preset standard histogram corresponding to different fault types, the fault type and accuracy of the compressor are output.

[0069] Specifically, a data set of fault vibration signals of different fault types marked in advance is obtained, and a histogram of the ratio of energy of each frequency band to total energy is obtained by wavelet decomposition of the fault vibration signals in the data set as a standard histogram corresponding to different fault types, and the obtained histogram is matched with the standard histogram corresponding to different fault types through a fitting algorithm to obtain a degree of fit, and the fault type and accuracy are output. For example, the obtained standard histogram corresponding to different fault types is used for model training (such as a neural network model) to obtain a fault diagnosis model, and the obtained histogram is input into the fault diagnosis model and matched with the standard histogram corresponding to different fault types through a fitting algorithm to obtain a degree of fit, and the fault type and accuracy are output.

[0070] Optionally, the compressor fault diagnosis device further includes: a judgment unit and a prompt unit (not shown). The judgment unit is used to judge whether the accuracy rate is higher than a preset threshold; the prompt unit is used to issue a corresponding prompt message if the judgment unit judges that the accuracy rate is higher than the preset threshold.

[0071] Specifically, the faults are divided according to size and type, and different fault types and health conditions are set as the meta-training set. The vibration signal when the air-conditioning compressor fails (the histogram of the ratio of the energy of each frequency band to the total energy obtained after wavelet packet decomposition) is fitted with the histogram of the ratio of the energy of each frequency band to the total energy obtained after wavelet decomposition of the fault vibration signal of different fault types in the meta-training set, and the accuracy of the fault diagnosis system is obtained. The judgment conditions are set, and when the accuracy is higher than a certain threshold, a prompt message is issued, such as feedback warnings to users and after-sales personnel, to avoid more serious consequences.

[0072] The present invention also provides a storage medium corresponding to the compressor fault diagnosis method, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any of the aforementioned methods are implemented.

[0073] The present invention also provides an air conditioner corresponding to the compressor fault diagnosis method, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any of the aforementioned methods when executing the computer program.

[0074] The present invention also provides an air conditioner corresponding to the compressor fault diagnosis device, comprising any of the aforementioned compressor fault diagnosis devices.

[0075] The present invention also provides a computer program product corresponding to the compressor fault diagnosis method, comprising a computer program, and when the computer program is executed by a processor, the steps of any of the aforementioned methods are implemented.

[0076] Accordingly, the solution provided by the present invention, according to the technical solution of the present invention, performs compressor fault diagnosis based on vibration signal analysis based on wavelet packet-energy spectrum, can realize compressor fault diagnosis under limited data conditions, and has high generalization ability.

[0077] Establish a compressor status detection and monitoring system to realize full-cycle monitoring of the compressor status, reduce the labor cost of subsequent maintenance, and avoid safety hazards.

[0078] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on a computer-readable medium or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of the present invention and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hard wiring, or a combination of any of these. In addition, each functional unit may be integrated into a processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit.

[0079] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed in multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0081] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the relevant technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0082] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the scope of the claims of the present invention.

Claims

1. A compressor fault diagnosis method, characterized in that: include: collecting vibration signals of the compressor in different working modes; Perform wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of the energy of each frequency band to the total energy; The obtained histogram is matched with standard histograms corresponding to different fault types to obtain the fault type of the compressor.

2. The method according to claim 1, characterized in that The standard histograms corresponding to the different fault types are obtained in the following way: Acquire vibration signals of the compressor when faults of different fault types occur in different working modes; Perform wavelet decomposition on the acquired vibration signal to obtain the energy of each frequency band of the vibration signal of different fault types; The obtained histogram of the ratio of the energy of each frequency band to the total energy of the vibration signal of the fault of different fault types is used as the standard histogram corresponding to the different fault types.

3. The method according to claim 1, characterized in that The obtained histogram is matched with standard histograms corresponding to different fault types to obtain the fault type of the compressor, including: The obtained histogram and the standard histogram corresponding to different fault types are fitted by a fitting algorithm to obtain a fitting degree; The fault type and accuracy of the compressor are output according to the fit between the obtained histogram and the preset standard histogram corresponding to different fault types.

4. The method according to claim 3, characterized in that Also includes: Determining whether the accuracy rate is higher than a preset threshold; If it is determined that the accuracy rate is higher than a preset threshold, a corresponding prompt message is issued.

5. A compressor fault diagnosis device, characterized in that: include: A collection unit, used for collecting vibration signals of the compressor in different working modes; A processing unit, used for performing wavelet decomposition on the collected vibration signal to obtain a histogram of the ratio of the energy of each frequency band to the total energy; The diagnosis unit is used to match the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor.

6. The device according to claim 5, characterized in that The standard histograms corresponding to the different fault types are obtained in the following way: Obtain vibration signals when the compressor has faults of different fault types under different working modes; perform wavelet decomposition on the obtained vibration signals to obtain the energy of each frequency band of the vibration signals of the faults of different fault types; and use a histogram of the ratio of the energy of each frequency band of the vibration signals of the faults of different fault types obtained to the total energy as a standard histogram corresponding to different fault types.

7. The device according to claim 5, characterized in that The diagnosis unit matches the obtained histogram with standard histograms corresponding to different fault types to obtain the fault type of the compressor, including: The obtained histogram and the standard histogram corresponding to different fault types are matched by a fitting algorithm to obtain a fitting degree; and the fault type and accuracy of the compressor are output according to the fitting degree between the obtained histogram and the preset standard histogram corresponding to different fault types.

8. A storage medium, characterized in that: A computer program is stored thereon, and when the program is executed by a processor, the steps of any method described in claims 1-4 are implemented.

9. An air conditioner, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method described in any one of claims 1 to 4 are implemented, or the method comprises a compressor fault targeting device described in any one of claims 5 to 7.

10. A computer program product, characterized in that The invention comprises a computer program, which implements the steps of the method according to any one of claims 1 to 4 when being executed by a processor.

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