CN113007082A - Compressor fault diagnosis method and device, compressor, storage medium and processor - Google Patents
Compressor fault diagnosis method and device, compressor, storage medium and processor Download PDFInfo
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- CN113007082A CN113007082A CN202110102274.1A CN202110102274A CN113007082A CN 113007082 A CN113007082 A CN 113007082A CN 202110102274 A CN202110102274 A CN 202110102274A CN 113007082 A CN113007082 A CN 113007082A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 100
- 238000000034 method Methods 0.000 title claims abstract description 65
- 239000003921 oil Substances 0.000 claims abstract description 88
- 239000010687 lubricating oil Substances 0.000 claims abstract description 42
- 239000002131 composite material Substances 0.000 claims abstract description 34
- 239000007788 liquid Substances 0.000 claims abstract description 9
- 238000012360 testing method Methods 0.000 claims description 58
- 230000002159 abnormal effect Effects 0.000 claims description 45
- 238000011156 evaluation Methods 0.000 claims description 30
- 238000006073 displacement reaction Methods 0.000 claims description 25
- 230000008859 change Effects 0.000 claims description 23
- 238000000576 coating method Methods 0.000 claims description 19
- 239000011248 coating agent Substances 0.000 claims description 17
- 238000012545 processing Methods 0.000 claims description 17
- 238000001228 spectrum Methods 0.000 claims description 10
- 238000012544 monitoring process Methods 0.000 claims description 8
- 239000000314 lubricant Substances 0.000 claims description 5
- 238000005299 abrasion Methods 0.000 description 34
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 18
- 230000008569 process Effects 0.000 description 18
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 12
- 230000007246 mechanism Effects 0.000 description 12
- 238000012937 correction Methods 0.000 description 10
- 230000015572 biosynthetic process Effects 0.000 description 9
- 238000003786 synthesis reaction Methods 0.000 description 9
- 229910052782 aluminium Inorganic materials 0.000 description 6
- XAGFODPZIPBFFR-UHFFFAOYSA-N aluminium Chemical compound [Al] XAGFODPZIPBFFR-UHFFFAOYSA-N 0.000 description 6
- 238000010586 diagram Methods 0.000 description 6
- 229910052742 iron Inorganic materials 0.000 description 6
- 229910052759 nickel Inorganic materials 0.000 description 6
- 230000000694 effects Effects 0.000 description 4
- 239000000306 component Substances 0.000 description 3
- 238000013329 compounding Methods 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 239000002923 metal particle Substances 0.000 description 3
- 230000006872 improvement Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 239000011247 coating layer Substances 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04B—POSITIVE-DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS
- F04B51/00—Testing machines, pumps, or pumping installations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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Abstract
The invention discloses a compressor fault diagnosis method, a device, a compressor, a storage medium and a processor, wherein the method comprises the following steps: acquiring oil liquid information of lubricating oil in the compressor, and acquiring vibration parameters of the compressor; determining a fault area of the compressor according to the oil information; determining the fault position of the compressor according to the vibration parameters; and determining the wear degree of the fault part of the compressor according to the fault area and the fault position. According to the scheme, the composite diagnosis is carried out on the basis of the oil analysis information and the vibration information of the compressor, so that the fault position of the compressor is accurately determined.
Description
Technical Field
The invention belongs to the technical field of compressors, and particularly relates to a compressor fault diagnosis method and device, a compressor, a storage medium and a processor.
Background
In the related scheme, the vibration signal on the surface of the compressor shell can be utilized to perform time domain, frequency domain and time-frequency domain analysis, and the wind turbine generator can be subjected to online state monitoring and health assessment. However, since the vibration signal of the surface of the compressor casing shows non-stationarity, it is difficult to accurately determine the fault location of the compressor using the vibration signal analysis.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention aims to provide a compressor fault diagnosis method, a compressor fault diagnosis device, a compressor, a storage medium and a processor, which are used for solving the problem that the fault position of the compressor is difficult to accurately determine by analyzing vibration signals on the surface of a shell of the compressor and achieving the effect of accurately determining the fault position of the compressor by performing composite diagnosis based on oil analysis information and vibration information of the compressor.
The invention provides a compressor fault diagnosis method, which comprises the following steps: acquiring oil liquid information of lubricating oil in the compressor, and acquiring vibration parameters of the compressor; determining a fault area of the compressor according to the oil information; determining the fault position of the compressor according to the vibration parameters; and determining the wear degree of the fault part of the compressor according to the fault area and the fault position.
In some embodiments, obtaining oil information of the lubricant inside the compressor includes: monitoring the lubricating oil in the compressor by using a spectrum analyzer to obtain concentration change parameters of each element in the lubricating oil in the compressor, wherein the concentration change parameters are used as oil information of the lubricating oil in the compressor; obtaining vibration parameters of the compressor, including: and arranging more than one test point required to be subjected to fault diagnosis on the surface of the shell of the compressor, and measuring the vibration amplitude of each test point to be used as the vibration parameter of the compressor.
In some embodiments, wherein determining a fault region of the compressor based on the oil information comprises: determining at least one element as an abnormal element if the concentration change parameter of at least one element in the concentration change parameters of the elements in the lubricating oil in the compressor exceeds a set concentration; determining a coating area of the coating to which the abnormal element belongs on the internal parts of the compressor as a fault area of the compressor; determining a fault location of the compressor based on the vibration parameter, comprising: if the vibration amplitude of at least one test point in the vibration amplitudes of more than one test point exceeds a set amplitude, determining that at least one test point is a fault point; and determining the position of the fault point on the shell surface of the compressor as the fault position of the compressor.
In some embodiments, determining a degree of wear of a failed part of the compressor based on the failure region and the failure location comprises: determining the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position; determining an equal weight analysis value of the wear degree of the part at the fault area according to the current content of the abnormal element at the fault area and the set content of the abnormal element at the fault area, and determining the wear degree of the part at the fault area; carrying out maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor; and comparing the wear degree of the parts of the compressor with the equal weight analysis value of the wear degree of the parts at the fault area, and determining the fault position and the wear degree of the severely worn parts in the fault area as the wear degree of the fault parts of the compressor.
In some embodiments, further comprising: and evaluating the wear state of the compressor according to the wear degree of the fault parts of the compressor.
In some embodiments, evaluating the wear state of the compressor based on a degree of wear of a part of the compressor at the fault location comprises: evaluating the wear state of the compressor according to the area of the wear degree of the part of the compressor at the fault position in the set wear state evaluation parameter; when at least one of the fault position and the displacement of the compressor is changed, the wear degree of the part of the compressor at the fault position is weighted and compensated according to at least one of the changed fault position and the displacement, and then the wear state of the compressor is evaluated according to the wear degree of the part of the compressor at the fault position after the weighted compensation.
In accordance with the above method, another aspect of the present invention provides a compressor fault diagnosis apparatus, including: the acquisition unit is configured to acquire oil information of lubricating oil in the compressor and acquire vibration parameters of the compressor; a diagnosis unit configured to determine a fault region of the compressor according to the oil information; the diagnosis unit is further configured to determine a fault position of the compressor according to the vibration parameter; the diagnosis unit is further configured to determine the degree of wear of the faulty part of the compressor according to the fault region and the fault location.
In some embodiments, the obtaining unit obtains oil information of lubricant inside the compressor, and the obtaining unit includes: monitoring the lubricating oil in the compressor by using a spectrum analyzer to obtain concentration change parameters of each element in the lubricating oil in the compressor, wherein the concentration change parameters are used as oil information of the lubricating oil in the compressor; the obtaining unit obtains a vibration parameter of the compressor, including: and arranging more than one test point required to be subjected to fault diagnosis on the surface of the shell of the compressor, and measuring the vibration amplitude of each test point to be used as the vibration parameter of the compressor.
In some embodiments, wherein the diagnosis unit determines the fault region of the compressor according to the oil information, comprises: determining at least one element as an abnormal element if the concentration change parameter of at least one element in the concentration change parameters of the elements in the lubricating oil in the compressor exceeds a set concentration; determining a coating area of the coating to which the abnormal element belongs on the internal parts of the compressor as a fault area of the compressor; the diagnosis unit determines the fault position of the compressor according to the vibration parameter, and comprises: if the vibration amplitude of at least one test point in the vibration amplitudes of more than one test point exceeds a set amplitude, determining that at least one test point is a fault point; and determining the position of the fault point on the shell surface of the compressor as the fault position of the compressor.
In some embodiments, the diagnostic unit, determining a degree of wear of the faulty part of the compressor according to the fault region and the fault location, includes: determining the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position; determining an equal weight analysis value of the wear degree of the part at the fault area according to the current content of the abnormal element at the fault area and the set content of the abnormal element at the fault area, and determining the wear degree of the part at the fault area; carrying out maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor; and comparing the wear degree of the parts of the compressor with the equal weight analysis value of the wear degree of the parts at the fault area, and determining the fault position and the wear degree of the severely worn parts in the fault area as the wear degree of the fault parts of the compressor.
In some embodiments, further comprising: the diagnostic unit is further configured to evaluate a wear state of the compressor according to a degree of wear of a malfunctioning part of the compressor.
In some embodiments, the diagnostic unit, based on a degree of wear of a part of the compressor at the fault location, evaluates a wear state of the compressor, including: evaluating the wear state of the compressor according to the area of the wear degree of the part of the compressor at the fault position in the set wear state evaluation parameter; when at least one of the fault position and the displacement of the compressor is changed, the wear degree of the part of the compressor at the fault position is weighted and compensated according to at least one of the changed fault position and the displacement, and then the wear state of the compressor is evaluated according to the wear degree of the part of the compressor at the fault position after the weighted compensation.
In accordance with the above apparatus, a further aspect of the present invention provides a compressor, comprising: the above-described compressor failure diagnosis apparatus.
In accordance with the above method, a further aspect of the present invention provides a storage medium including a stored program, wherein when the program is executed, an apparatus in which the storage medium is located is controlled to perform the above-described compressor fault diagnosis method.
In accordance with the above method, a further aspect of the present invention provides a processor for executing a program, wherein the program is executed to execute the above-mentioned method for diagnosing a fault of a compressor.
Therefore, according to the scheme of the invention, the vibration amplitude and the oil element content of i position measuring points of the compressor are respectively determined by performing composite diagnosis based on the oil analysis information and the vibration information of the compressor, the fuzzy membership degree of the compressor to severe wear is respectively calculated, 2 kinds of membership degree synthesis is realized based on the maximum-product, the fault position is rapidly positioned, and the fault position of the compressor is accurately determined by performing composite diagnosis based on the oil analysis information and the vibration information of the compressor.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating an embodiment of a compressor fault diagnosis method of the present invention;
FIG. 2 is a schematic flow chart illustrating one embodiment of determining a fault region for the compressor in the method of the present invention;
FIG. 3 is a schematic flow chart illustrating one embodiment of determining the location of a fault in the compressor in the method of the present invention;
FIG. 4 is a schematic flow chart illustrating one embodiment of the method of the present invention for determining the extent of wear of a failed component of the compressor;
fig. 5 is a schematic structural diagram of an embodiment of a compressor failure diagnosis apparatus according to the present invention;
FIG. 6 is a schematic flow chart diagram illustrating an embodiment of a compressor fault diagnosis method of the present invention;
FIG. 7 is a schematic position diagram of an embodiment of the vibration measuring point of the compressor of the present invention.
The reference numbers in the embodiments of the present invention are as follows, in combination with the accompanying drawings:
102-an obtaining unit; 104-diagnostic unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the specific embodiments of the present invention and the accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
According to an embodiment of the present invention, a method for diagnosing a fault of a compressor is provided, as shown in fig. 1, which is a schematic flow chart of an embodiment of the method of the present invention. The compressor fault diagnosis method may include: step S110 to step S140.
In step S110, oil information of the lubricant inside the compressor is obtained, and a vibration parameter of the compressor is obtained.
In some embodiments, the acquiring oil information of the lubricating oil inside the compressor in step S110 includes: and monitoring the lubricating oil in the compressor by using a spectrum analyzer to obtain concentration change parameters of each element in the lubricating oil in the compressor, wherein the concentration change parameters are used as oil information of the lubricating oil in the compressor.
Specifically, the lubricating oil in the compressor is monitored by a spectrum analyzer to obtain the concentration change curve of each element (such as nickel, iron, aluminum and the like) in the lubricating oil in the compressor, for example, the element X in the lubricating oil in the compressor is obtained1、X2、X3、X4(e.g., nickel, iron, aluminum, etc.) concentration profile.
In some embodiments, the obtaining of the vibration parameter of the compressor in step S110 includes: and arranging more than one test point required to be subjected to fault diagnosis on the surface of the shell of the compressor, and measuring the vibration amplitude of each test point to be used as the vibration parameter of the compressor.
Specifically, the vibration amplitude A of each test point of the compressor, such as the i # position, is obtainediVibration amplitude A of 7 test points, e.g. 1# position 112# position 2 vibration amplitude a23# position 3 vibration amplitude a34# position 4 vibration amplitude a45# position 5 vibration amplitude A56# position 6 vibration amplitude A 67# position 7 vibration amplitude A7And the like.
At step S120, a fault region of the compressor is determined according to the oil information.
In some embodiments, a specific process of determining the fault region of the compressor according to the oil information in step S120 is described in the following exemplary description.
The following further describes a specific process of determining the fault region of the compressor in step S120, with reference to a flowchart of an embodiment of determining the fault region of the compressor in the method of the present invention shown in fig. 2, including: step S210 and step S220.
Step S210, if the concentration variation parameter of at least one element in the concentration variation parameters of the elements in the lubricating oil in the compressor exceeds the set concentration, determining that the at least one element is an abnormal element.
Specifically, the concentration or content of each element can be measured. For example: obtaining the variation between the initial concentration and the current concentration of each element according to the concentration variation curve of each element, and determining the element as an abnormal element X if the variation exceeds the set standard concentrationi。
Step S220, determining a coating area of the coating layer of the abnormal element on the internal part of the compressor as a fault area of the compressor.
In particular, according to the abnormal element XiThe approximate location of the wear of the compressor inner shell is determined at the location of the coating on the compressor inner part to achieve a preliminary location of the compressor fault. For example: abnormal element XiThe coating is positioned at any one part of the front part, the middle part or the rear part of the inner shell of the compressor, and the part is determined as a fault primary positioning position of the compressor, such as positioning to an abnormal element XiAnd the parts corresponding to the coatings realize the primary positioning of the fault parts.
At step S130, a fault location of the compressor is determined according to the vibration parameter.
In some embodiments, a specific process of determining the fault location of the compressor according to the vibration parameter in step S130 is described in the following exemplary description.
The following further describes a specific process of determining the fault location of the compressor in step S130, with reference to a flowchart of an embodiment of determining the fault location of the compressor in the method of the present invention shown in fig. 3, including: step S310 and step S320.
Step S310, in the vibration amplitude of more than one test point, if the vibration amplitude of at least one test point exceeds a set amplitude, determining that at least one test point is a fault point.
And step S320, determining the position of the fault point on the surface of the shell of the compressor as the fault position of the compressor.
Specifically, the vibration amplitude of each test point can be measured. And comparing the vibration amplitude of each position with the initial amplitude of the vibration amplitude, and determining the position as a fault position if the amplitude difference exceeds a set standard amplitude.
At step S140, a degree of wear of a malfunctioning part of the compressor is determined according to the malfunctioning region and the malfunctioning location.
Specifically, composite diagnosis is carried out based on oil analysis information and vibration information of the compressor, vibration amplitude and oil element content of i position measuring points of the compressor are respectively determined, fuzzy membership of the fuzzy membership to severe wear is respectively calculated, 2 membership synthesis is realized based on a maximum-product, fault position positioning is rapidly realized, and two methods are adopted for composite diagnosis, so that the confidence level of a diagnosis result is improved.
Therefore, by adopting the oil analysis information and the vibration information of the compressor to carry out composite diagnosis, the problems that the wear fault state cannot be evaluated by analyzing by using the vibration information singly and the wear position cannot be accurately judged by analyzing by using the oil information singly are solved, the effects of accurate fault judgment and quick positioning are achieved, and the quick positioning of the fault position of the compressor can be realized.
In some embodiments, a specific process of determining the wear degree of the faulty part of the compressor according to the faulty area and the faulty location in step S140 is described in the following exemplary description.
The specific process of determining the wear degree of the faulty component of the compressor in step S140 is further described below with reference to a flowchart of an embodiment of determining the wear degree of the faulty component of the compressor in the method of the present invention shown in fig. 4, and includes: step S410 to step S440.
And S410, determining the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position. Wherein the current amplitude, e.g. vibration amplitude A of 1# position 112# position 2 vibration amplitude a23# position 3 vibration amplitude a34# position 4 vibration amplitude a45# position 5 vibration amplitude A 56# position 6 vibration amplitude A 67# position 7 vibration amplitude A7And the like.
Specifically, based on vibration information, fuzzy membership degree mu of each position to severe abrasion is determined according to vibration amplitudeR1Comprises the following steps:
in equations (1) and (2), A 'is the average amplitude of the compressor at severe wear, A'nIs the standard amplitude for a compressor in the n # position when it is heavily worn.
Step S420, determining an equal weight analysis value of the wear degree of the part at the fault area according to the current content of the abnormal element at the fault area and the set content of the abnormal element at the fault area, and determining the wear degree of the part at the fault area.
Specifically, according to the obtained oil analysis indexes (such as abnormal elements and positions thereof), friction parts (namely the element X) at the i # position of the compressor are determined1、X2、X3、X4Part) fuzzy membership mu to severe wearR21Comprises the following steps:
in the formula (3), C1、C2、C3、C4Is the current content (i.e. measured value) of each element, C1'、C'2、C3'、C'4The corresponding element content (i.e. the set value) is the content when the abrasion is serious. Thus, the oil information can be obtainedGet the vibration amplitude A of the i # positioniIs an element XmThe degree of wear of the parts.
Performing oil analysis based on equal weight to obtain fuzzy membership mu of each wear position of the compressorR2Comprises the following steps:
thus, the judgment accuracy is improved according to the weight evaluation of the vibration, the oil and the like.
And step S430, performing maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor.
Specifically, based on max-min compounding:
Dia numerical value representing the fuzzy membership of the corresponding part.
Step S440, comparing the wear degree of the parts of the compressor with the equal weight analysis value of the wear degree of the parts at the fault region, and determining the fault location and the wear degree of the severely worn parts among the parts in the fault region as the wear degree of the faulty parts of the compressor.
Specifically, the part DiNumerical value of fuzzy membership degree and fuzzy membership degree mu of serious abrasionR21In (1)
Comparing and determining
Corresponding element XiFor the serious abrasion element, determining the part corresponding to the serious abrasion element as the serious abrasion part, thereby determining the position of the serious abrasion part asSeverely wearing out the site.
In this way, the wear part D is obtained according to the available wear positioni. Vibration and oil liquid information are integrated, and the defects that the abrasion fault state cannot be evaluated only by analyzing the vibration information and the abrasion position cannot be accurately judged only by analyzing the oil liquid information are overcome.
In some embodiments, further comprising: and evaluating the wear state of the compressor according to the wear degree of the fault parts of the compressor.
Specifically, a wear degree evaluation rule table is established, and accurate evaluation of the wear degree and determination of a fault mechanism are completed. And the correction compensation is carried out on the compressors at different positions and different displacement, so that the diagnosis accuracy is improved.
Therefore, the fault position is determined firstly, and the wear state of the metal particles in the oil sample is obtained through oil analysis, so that the state and evolution of fault wear are evaluated, and the fault evolution degree can be accurately evaluated. Meanwhile, the wear mechanism of the fault position can be determined, and the vibration information of the composite fault position can define the fault mechanism of a specific part.
In some embodiments, evaluating the wear state of the compressor based on a degree of wear of a part of the compressor at the fault location comprises: and evaluating the wear state of the compressor according to the area of the wear degree of the part of the compressor at the fault position in the set wear state evaluation parameter.
When at least one of the fault position and the displacement of the compressor is changed, the wear degree of the part of the compressor at the fault position is weighted and compensated according to at least one of the changed fault position and the displacement, and then the wear state of the compressor is evaluated according to the wear degree of the part of the compressor at the fault position after the weighted compensation.
Specifically, a wear state evaluation is performed, establishing max min (D)i) The three-stage wear state evaluation table has normal wear and abnormal wearThe severe abrasion is respectively corresponding to (a, b), (b, c) and (c, d) and simultaneously corresponding to different positions AiProceed k toiAnd (4) compensating and weighting, wherein the weighted composite result is as follows:
Mi＝ki*max min(Di) (6)。
in the formula (6), kiAs a position weighting factor, MiAnd weighting the wear degrees of the compressor after compensation for different positions, wherein a, b, c and d are the upper limit and the lower limit of the wear degree range of each stage. For example: position weighting factor kiCan be selected according to the following table:
| location numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| ki | 0.5 | 0.4 | 0.8 | 0.8 | 0.6 | 0.4 | 0.3 |
The wear state evaluation table is:
| evaluation Range | (a，b) | (b，c) | (c，d) |
| Corresponding state | Normal wear and tear | Abnormal wear | Severe wear and tear |
Wherein a, b, c and d take the values of 0, 0.3, 0.6 and 1 respectively. For compressors with different displacement, the same correction is needed:
Ni＝pjMi (7)。
in the formula (7), pjCorrection factor for different displacement compressors, NiThe wear compensated for the different displacement compressor weights. Thus, by obtaining DiAnd a three-section state evaluation table is established, so that the fault evolution state can be rapidly and directly judged, meanwhile, weighting compensation processing is carried out on compressors of different models and different positions, and the fault diagnosis rate is improved.
Through a large number of tests, the technical scheme of the embodiment is adopted, composite diagnosis is carried out on the basis of the oil analysis information and the vibration information of the compressor, the vibration amplitude and the oil element content of i position measuring points of the compressor are respectively determined, the fuzzy membership degree of the compressor to severe abrasion is respectively calculated, 2 kinds of membership degree synthesis are realized on the basis of the maximum-product, the fault position positioning is rapidly realized, and the composite diagnosis is carried out on the basis of the oil analysis information and the vibration information of the compressor, so that the fault position of the compressor is accurately determined.
According to an embodiment of the present invention, there is also provided a compressor failure diagnosis apparatus corresponding to the compressor failure diagnosis method. Referring to fig. 5, a schematic diagram of an embodiment of the apparatus of the present invention is shown. The compressor failure diagnosis apparatus may include: an acquisition unit 102 and a diagnostic unit 104.
The obtaining unit 102 is configured to obtain oil information of lubricating oil inside the compressor, and obtain a vibration parameter of the compressor. The specific functions and processes of the acquiring unit 102 are referred to in step S110.
In some embodiments, the obtaining unit 102, obtaining oil information of the lubricant inside the compressor, includes: the obtaining unit 102 is further specifically configured to perform a spectrum analyzer monitoring on the lubricating oil inside the compressor, and obtain a concentration variation parameter of each element in the lubricating oil inside the compressor, as oil information of the lubricating oil inside the compressor.
Specifically, the lubricating oil in the compressor is monitored by a spectrum analyzer to obtain the concentration change curve of each element (such as nickel, iron, aluminum and the like) in the lubricating oil in the compressor, for example, the element X in the lubricating oil in the compressor is obtained1、X2、X3、X4(e.g., nickel, iron, aluminum, etc.) concentration profile.
In some embodiments, the obtaining unit 102, obtaining the vibration parameter of the compressor, includes: the obtaining unit 102 is specifically configured to set more than one test point on the surface of the shell of the compressor, where the more than one test point is required to perform fault diagnosis, and measure a vibration amplitude of each test point to obtain the vibration amplitude as a vibration parameter of the compressor.
Specifically, the vibration amplitude A of each test point of the compressor, such as the i # position, is obtainediVibration amplitude A of 7 test points, e.g. 1# position 112# position 2 vibration amplitude a23# position 3 vibration amplitude a34# position 4 vibration amplitude a45# position 5 vibration amplitude A 56# position 6 vibration amplitude A 67# position 7 vibration amplitude A7And the like.
A diagnosis unit 104 configured to determine a fault region of the compressor according to the oil information. The specific functions and processes of the diagnostic unit 104 are shown in step S120.
In some embodiments, the diagnosing unit 104, determining the fault region of the compressor according to the oil information, includes:
the diagnosing unit 104 is specifically configured to determine that at least one of the elements is an abnormal element if a concentration variation parameter of at least one of the elements in the lubricating oil inside the compressor exceeds a set concentration. The specific functions and processes of the diagnostic unit 104 are also referred to in step S210.
Specifically, the concentration or content of each element can be measured. For example: obtaining the variation between the initial concentration and the current concentration of each element according to the concentration variation curve of each element, and determining the element as an abnormal element X if the variation exceeds the set standard concentrationi。
The diagnostic unit 104 is further configured to determine a coating area of the coating to which the abnormal element belongs on the compressor internal part as a fault area of the compressor. The specific functions and processes of the diagnostic unit 104 are also referred to in step S220.
In particular, according to the abnormal element XiThe approximate location of the wear of the compressor inner shell is determined at the location of the coating on the compressor inner part to achieve a preliminary location of the compressor fault. For example: abnormal element XiThe coating is positioned at any one part of the front part, the middle part or the rear part of the inner shell of the compressor, and the part is determined as a fault primary positioning position of the compressor, such as positioning to an abnormal element XiCorresponding to the coatingAnd (4) carrying out primary positioning on the fault part.
The diagnostic unit 104 is further configured to determine a fault location of the compressor according to the vibration parameter. The specific function and processing of the diagnostic unit 104 are also referred to in step S130.
In some embodiments, the diagnosing unit 104, determining the fault location of the compressor according to the vibration parameter, includes:
the diagnosis unit 104 is specifically configured to determine that at least one of the test points is a fault point if the vibration amplitude of at least one of the test points exceeds a set amplitude, among the vibration amplitudes of more than one of the test points. The specific functions and processes of the diagnostic unit 104 are also referred to in step S310.
The diagnosis unit 104 is specifically further configured to determine the location of the fault point on the surface of the shell of the compressor as the fault location of the compressor. The specific functions and processes of the diagnostic unit 104 are also referred to in step S320.
Specifically, the vibration amplitude of each test point can be measured. And comparing the vibration amplitude of each position with the initial amplitude of the vibration amplitude, and determining the position as a fault position if the amplitude difference exceeds a set standard amplitude.
The diagnostic unit 104 is further configured to determine a degree of wear of the faulty part of the compressor according to the fault region and the fault location. The specific function and processing of the diagnostic unit 104 are also referred to in step S140.
Specifically, composite diagnosis is carried out based on oil analysis information and vibration information of the compressor, vibration amplitude and oil element content of i position measuring points of the compressor are respectively determined, fuzzy membership of the fuzzy membership to severe wear is respectively calculated, 2 membership synthesis is realized based on a maximum-product, fault position positioning is rapidly realized, and two devices are adopted for composite diagnosis, so that the confidence level of a diagnosis result is improved.
Therefore, by adopting the oil analysis information and the vibration information of the compressor to carry out composite diagnosis, the problems that the wear fault state cannot be evaluated by analyzing by using the vibration information singly and the wear position cannot be accurately judged by analyzing by using the oil information singly are solved, the effects of accurate fault judgment and quick positioning are achieved, and the quick positioning of the fault position of the compressor can be realized.
In some embodiments, the diagnosing unit 104, determining the degree of wear of the faulty part of the compressor according to the fault region and the fault location, includes:
the diagnosis unit 104 is specifically further configured to determine the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position. The specific functions and processes of the diagnostic unit 104 are also referred to in step S410. Wherein the current amplitude, e.g. vibration amplitude A of 1# position 112# position 2 vibration amplitude a23# position 3 vibration amplitude a34# position 4 vibration amplitude a45# position 5 vibration amplitude A 56# position 6 vibration amplitude A 67# position 7 vibration amplitude A7And the like.
Specifically, based on vibration information, fuzzy membership degree mu of each position to severe abrasion is determined according to vibration amplitudeR1Comprises the following steps:
in equations (1) and (2), A 'is the average amplitude of the compressor at severe wear, A'nIs the standard amplitude for a compressor in the n # position when it is heavily worn.
The diagnosis unit 104 is specifically further configured to determine an equal-weight analysis value of the wear degree of the part at the fault region according to the current content of the abnormal element at the fault region and the set content of the abnormal element at the fault region, and determine the wear degree of the part at the fault region. The specific function and processing of the diagnostic unit 104 are also referred to in step S420.
Specifically, according to the obtained oil analysis indexes (such as abnormal elements and positions thereof), friction parts (namely the element X) at the i # position of the compressor are determined1、X2、X3、X4Part) fuzzy membership mu to severe wearR21Comprises the following steps:
in the formula (3), C1、C2、C3、C4Is the current content (i.e. measured value) of each element, C1'、C'2、C3'、C'4The corresponding element content (i.e. the set value) is the content when the abrasion is serious. Thus, the vibration amplitude A of the i # position can be obtained by utilizing the oil informationiIs an element XmThe degree of wear of the parts.
Performing oil analysis based on equal weight to obtain fuzzy membership mu of each wear position of the compressorR2Comprises the following steps:
thus, the judgment accuracy is improved according to the weight evaluation of the vibration, the oil and the like.
The diagnosis unit 104 is specifically configured to perform maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor. The specific functions and processes of the diagnostic unit 104 are also referred to in step S430.
Specifically, based on max-min compounding:
Dito representThe fuzzy membership value of the corresponding part.
The diagnosis unit 104 is specifically further configured to compare the wear degree of the parts of the compressor with the equal-weight analysis value of the wear degree of the parts at the failure region, and determine the failure location and the wear degree of the severely worn parts among the parts in the failure region as the wear degree of the failed parts of the compressor. The specific functions and processes of the diagnostic unit 104 are also referred to in step S440.
Specifically, the part DiNumerical value of fuzzy membership degree and fuzzy membership degree mu of serious abrasionR21In (1)
Comparing and determining
Corresponding element XiAnd determining the part corresponding to the serious abrasion element as a serious abrasion part, thereby determining the position of the serious abrasion part as a serious abrasion position.
In this way, the wear part D is obtained according to the available wear positioni. Vibration and oil liquid information are integrated, and the defects that the abrasion fault state cannot be evaluated only by analyzing the vibration information and the abrasion position cannot be accurately judged only by analyzing the oil liquid information are overcome.
In some embodiments, further comprising: the diagnostic unit 104 is further configured to evaluate a wear state of the compressor according to a degree of wear of a malfunctioning part of the compressor.
Specifically, a wear degree evaluation rule table is established, and accurate evaluation of the wear degree and determination of a fault mechanism are completed. And the correction compensation is carried out on the compressors at different positions and different displacement, so that the diagnosis accuracy is improved.
Therefore, the fault position is determined firstly, and the wear state of the metal particles in the oil sample is obtained through oil analysis, so that the state and evolution of fault wear are evaluated, and the fault evolution degree can be accurately evaluated. Meanwhile, the wear mechanism of the fault position can be determined, and the vibration information of the composite fault position can define the fault mechanism of a specific part.
In some embodiments, the diagnostic unit 104, based on the degree of wear of the part of the compressor at the fault location, evaluates the wear state of the compressor, including: the diagnosis unit 104 is specifically further configured to evaluate the wear state of the compressor according to a region where the wear degree of the part of the compressor at the fault position is in the set wear state evaluation parameter.
The diagnosis unit 104 is specifically further configured to, when at least one of a fault location and a displacement of the compressor changes, perform weighted compensation processing on a wear degree of a part of the compressor at the fault location according to the changed at least one of the fault location and the displacement, and then evaluate a wear state of the compressor according to the wear degree of the part of the compressor at the fault location after the weighted compensation processing.
Specifically, a wear state evaluation is performed, establishing max min (D)i) The three-stage wear state evaluation table has normal wear, abnormal wear and severe wear respectively corresponding to (a, b), (b, c) and (c, d) and simultaneously corresponding to different positions AiProceed k toiAnd (4) compensating and weighting, wherein the weighted composite result is as follows:
Mi＝ki*max min(Di) (6)。
in the formula (6), kiAs a position weighting factor, MiAnd weighting the wear degrees of the compressor after compensation for different positions, wherein a, b, c and d are the upper limit and the lower limit of the wear degree range of each stage. For example: position weighting factor kiCan be selected according to the following table:
| location numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| ki | 0.5 | 0.4 | 0.8 | 0.8 | 0.6 | 0.4 | 0.3 |
The wear state evaluation table is:
| evaluation Range | (a，b) | (b，c) | (c，d) |
| Corresponding state | Normal wear and tear | Abnormal wear | Severe wear and tear |
Wherein a, b, c and d take the values of 0, 0.3, 0.6 and 1 respectively. For compressors with different displacement, the same correction is needed:
Ni＝pjMi (7)。
in the formula (7), pjCorrection factor for different displacement compressors, NiThe wear compensated for the different displacement compressor weights. Thus, by obtaining DiAnd a three-section state evaluation table is established, so that the fault evolution state can be rapidly and directly judged, meanwhile, weighting compensation processing is carried out on compressors of different models and different positions, and the fault diagnosis rate is improved.
Since the processes and functions implemented by the apparatus of this embodiment substantially correspond to the embodiments, principles and examples of the method shown in fig. 1 to 4, the description of this embodiment is not detailed, and reference may be made to the related descriptions in the foregoing embodiments, which are not repeated herein.
Through a large number of tests, the technical scheme of the invention is adopted, composite diagnosis is carried out on the basis of oil analysis information and vibration information of the compressor, the vibration amplitude and the oil element content of i position measuring points of the compressor are respectively determined, the fuzzy membership degree of the compressor to severe abrasion is respectively calculated, 2 kinds of membership degree synthesis are realized on the basis of the maximum-product, fault position positioning is rapidly realized, and the two methods are adopted for composite diagnosis, so that the confidence level of the diagnosis result is improved.
According to an embodiment of the present invention, there is also provided a compressor corresponding to the compressor failure diagnosis apparatus. The compressor may include: the above-described compressor failure diagnosis apparatus.
The vibration signal is utilized to analyze time domain, frequency domain and time domain, only the fault characteristics can be obtained and the fault type can be judged through the vibration signal processing on the surface of the shell of the compressor, and the vibration signal does not contain the fault evolution state information, so that the accurate description of the fault state of the compressor cannot be realized, and the mechanical abrasion reason is difficult to evaluate.
The compressor is used as a core component of an air conditioner, refrigeration, an engine, a hydraulic pump and the like, and the recognition of fault diagnosis of the compressor is important. Based on the correlation between the vibration information and the oil information, the fault position and the evolution degree are subjected to composite diagnosis from two different angles, so that mutual verification of the two methods can be realized, the confidence level of a diagnosis result is improved, missed diagnosis caused by a single method can be avoided to a certain extent, and the reliability of diagnosis is further improved.
In some embodiments, the scheme of the invention provides a compressor fault diagnosis method, composite diagnosis is carried out based on oil analysis information and vibration information of a compressor, vibration amplitude and oil element content of i position measuring points of the compressor are respectively determined, fuzzy membership degree of the compressor to severe abrasion is respectively calculated, 2 membership degree synthesis is realized based on a maximum-product, fault position location is rapidly realized, and two methods are adopted for composite diagnosis to improve the confidence level of a diagnosis result; meanwhile, establishing a wear degree evaluation rule table to finish the accurate evaluation of the wear degree and the determination of a failure mechanism; and the correction compensation is carried out on the compressors at different positions and different displacement, so that the diagnosis accuracy is improved. Wherein i is a positive integer.
According to the scheme, composite diagnosis is carried out by adopting oil analysis information and vibration information of the compressor, the problems that the wear fault state cannot be evaluated by analyzing by using the vibration information only and the wear position cannot be accurately judged by analyzing by using the oil information only are solved, the effects of accurate fault judgment and quick positioning are achieved, and the quick positioning of the fault position of the compressor can be realized.
According to the scheme, the fault position is determined firstly, and the wear state of metal particles in the oil sample is obtained through oil analysis, so that the state and evolution of fault wear are evaluated, and the fault evolution degree can be accurately evaluated; meanwhile, the wear mechanism of the fault position can be determined, and the vibration information of the composite fault position can define the fault mechanism of a specific part.
The following describes an exemplary implementation process of the scheme of the present invention with reference to the examples shown in fig. 6 and fig. 7.
Fig. 6 is a flowchart illustrating a method for diagnosing a fault of a compressor according to an embodiment of the present invention. FIG. 7 is a schematic position diagram of an embodiment of the vibration measuring point of the compressor of the present invention.
As shown in fig. 6, a method for diagnosing a fault of a compressor based on a principle of combining vibration and oil information includes:
step 1, monitoring the lubricating oil in the compressor by a spectrum analyzer to obtain a concentration change curve of each element (such as nickel, iron, aluminum and the like) in the lubricating oil in the compressor, for example, obtaining an element X in the lubricating oil in the compressor1、X2、X3、X4(such as nickel, iron, aluminum, etc.) concentration change curve, and determining abnormal element Xi. Wherein the concentration or content of each element can be measured.
For example: obtaining the variation between the initial concentration and the current concentration of each element according to the concentration variation curve of each element, and determining the element as an abnormal element X if the variation exceeds the set standard concentrationi. If the lubricating oil test is put into a spectrum analyzer for detection, the types and the contents of different elements in the oil can be directly obtained.
Further, based on the abnormal element XiThe approximate location of the wear of the compressor inner shell is determined at the location of the coating on the compressor inner part to achieve a preliminary location of the compressor fault. For example: abnormal element XiThe coating is positioned at any one part of the front part, the middle part or the rear part of the inner shell of the compressor, and the part is determined as a fault primary positioning position of the compressor, such as positioning to an abnormal element XiAnd the parts corresponding to the coatings realize the primary positioning of the fault parts.
For example: the vibration amplitude of each test point can be measured. And comparing the vibration amplitude of each position with the initial amplitude of the vibration amplitude, and determining the position as a fault position if the amplitude difference exceeds a set standard amplitude. The vibration amplitude of each measuring point is obtained by attaching a vibration acceleration sensor to the surface of the shell.
in equations (1) and (2), A 'is the average amplitude of the compressor at severe wear, A'nIs the standard amplitude for a compressor in the n # position when it is heavily worn.
According to step 2 and step 3, the fault location can be obtained.
in the formula (3), C1、C2、C3、C4Is the current content (i.e. measured value) of each element, C1'、C'2、C3'、C'4The corresponding element content (i.e. the set value) is the content when the abrasion is serious.
According to the step 4, the vibration amplitude A of the i # position can be obtained by utilizing the oil informationiIs an element XmThe degree of wear of the parts.
and (5) evaluating according to the weights of the vibration, the oil and the like in the step 5, and improving the judgment accuracy.
Dia numerical value representing the fuzzy membership of the corresponding part. Will part DiNumerical value of fuzzy membership degree and fuzzy membership degree mu of serious abrasionR21In (1)
To make a comparison, then
And determining that the part corresponding to the serious abrasion element is a serious abrasion part, thereby determining that the position of the serious abrasion part is a serious abrasion position. Wherein D isiThe maximum-minimum composite membership degree of the wear elements is a specific numerical value.
Wherein,
since absolute value calculation is adopted, the calculated difference value is regarded as the maximum value。
The wear position and the wear part D can be obtained according to step 6i(ii) a Vibration and oil liquid information are integrated, and the defects that the abrasion fault state cannot be evaluated only by analyzing the vibration information and the abrasion position cannot be accurately judged only by analyzing the oil liquid information are overcome.
Mi＝ki*max min(Di) (6)。
in the formula (6), kiAs a position weighting factor, MiAnd weighting the wear degrees of the compressor after compensation for different positions, wherein a, b, c and d are the upper limit and the lower limit of the wear degree range of each stage.
In the solution of the invention, the position weighting factor kiCan be selected according to the following table:
| location numbering | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
| ki | 0.5 | 0.4 | 0.8 | 0.8 | 0.6 | 0.4 | 0.3 |
The wear state evaluation table is:
| evaluation Range | (a，b) | (b，c) | (c，d) |
| Corresponding state | Normal wear and tear | Abnormal wear | Severe wear and tear |
In the scheme of the invention, a, b, c and d respectively take values of 0, 0.3, 0.6 and 1. For compressors with different displacement, the same correction is needed:
Ni＝pjMi (7)。
in the formula (7), pjCorrection factor for different displacement compressors, NiThe wear compensated for the different displacement compressor weights.
Obtaining D according to step 7iAnd a three-section state evaluation table is established, so that the fault evolution state can be rapidly and directly judged, meanwhile, weighting compensation processing is carried out on compressors of different models and different positions, and the fault diagnosis rate is improved. If different sections (numerical ranges) indicate different wear states, deterioration or improvement in the event of a failure can be directly reflected in accordance with a change that falls within the section.
Since the processes and functions of the compressor of this embodiment are basically corresponding to the embodiments, principles and examples of the apparatus shown in fig. 5, the description of this embodiment is not given in detail, and reference may be made to the related descriptions in the foregoing embodiments, which are not repeated herein.
Through a large number of tests, the technical scheme of the invention is adopted, composite diagnosis is carried out on the basis of the oil analysis information and the vibration information of the compressor, the vibration amplitude and the oil element content of i position measuring points of the compressor are respectively determined, the fuzzy membership degree of the compressor to severe wear is respectively calculated, 2 kinds of membership degree synthesis is realized on the basis of the maximum-product, the fault position positioning is rapidly realized, and meanwhile, a wear degree evaluation rule table is established, so that the accurate evaluation of the wear degree and the fault mechanism determination are completed.
According to an embodiment of the present invention, there is also provided a storage medium corresponding to a compressor failure diagnosis method, the storage medium including a stored program, wherein the apparatus in which the storage medium is located is controlled to perform the above-described compressor failure diagnosis method when the program is executed.
Since the processing and functions implemented by the storage medium of this embodiment substantially correspond to the embodiments, principles, and examples of the methods shown in fig. 1 to fig. 4, details are not described in the description of this embodiment, and reference may be made to the related descriptions in the foregoing embodiments, which are not described herein again.
Through a large number of tests, the technical scheme of the invention is adopted, composite diagnosis is carried out on the basis of oil analysis information and vibration information of the compressor, the vibration amplitude and the oil element content of the i position measuring points of the compressor are respectively determined, the fuzzy membership degree of the compressor to severe abrasion is respectively calculated, 2 kinds of membership degree synthesis are realized on the basis of the maximum-product, fault position positioning is rapidly realized, correction compensation is carried out on compressors at different positions and different displacement, and the diagnosis accuracy is improved.
According to an embodiment of the present invention, there is also provided a processor corresponding to the compressor fault diagnosis method, the processor being configured to execute a program, wherein the program is executed to execute the compressor fault diagnosis method described above.
Since the processing and functions implemented by the processor of this embodiment substantially correspond to the embodiments, principles, and examples of the methods shown in fig. 1 to fig. 4, details are not described in the description of this embodiment, and reference may be made to the related descriptions in the foregoing embodiments, which are not described herein again.
Through a large number of tests, the technical scheme of the invention is adopted, composite diagnosis is carried out on the basis of the oil analysis information and the vibration information of the compressor, the vibration amplitude and the oil element content of the i position measuring points of the compressor are respectively determined, the fuzzy membership degree of the compressor to severe wear is respectively calculated, 2 kinds of membership degree synthesis are realized on the basis of the maximum-product, the fault position location is rapidly realized, the wear mechanism of the fault position can be determined, and the fault mechanism of a specific part can be determined by compounding the vibration information of the fault position.
In summary, it is readily understood by those skilled in the art that the advantageous modes described above can be freely combined and superimposed without conflict.
The above description is only an example of the present invention, and is not intended to limit the present invention, and it is obvious to those skilled in the art that various modifications and variations can be made in the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (15)
1. A method of diagnosing a fault in a compressor, comprising:
acquiring oil liquid information of lubricating oil in the compressor, and acquiring vibration parameters of the compressor;
determining a fault area of the compressor according to the oil information;
determining the fault position of the compressor according to the vibration parameters;
and determining the wear degree of the fault part of the compressor according to the fault area and the fault position.
2. The method for diagnosing the fault of the compressor according to claim 1, wherein the step of obtaining the oil information of the lubricating oil inside the compressor comprises the steps of:
monitoring the lubricating oil in the compressor by using a spectrum analyzer to obtain concentration change parameters of each element in the lubricating oil in the compressor, wherein the concentration change parameters are used as oil information of the lubricating oil in the compressor;
obtaining vibration parameters of the compressor, including:
and arranging more than one test point required to be subjected to fault diagnosis on the surface of the shell of the compressor, and measuring the vibration amplitude of each test point to be used as the vibration parameter of the compressor.
3. The compressor failure diagnosis method according to claim 2, wherein,
determining a fault region of the compressor according to the oil information, including:
determining at least one element as an abnormal element if the concentration change parameter of at least one element in the concentration change parameters of the elements in the lubricating oil in the compressor exceeds a set concentration;
determining a coating area of the coating to which the abnormal element belongs on the internal parts of the compressor as a fault area of the compressor;
determining a fault location of the compressor based on the vibration parameter, comprising:
if the vibration amplitude of at least one test point in the vibration amplitudes of more than one test point exceeds a set amplitude, determining that at least one test point is a fault point;
and determining the position of the fault point on the shell surface of the compressor as the fault position of the compressor.
4. The compressor fault diagnosis method according to claim 3, wherein determining a degree of wear of a faulty part of the compressor based on the fault region and the fault location includes:
determining the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position;
determining an equal weight analysis value of the wear degree of the part at the fault area according to the current content of the abnormal element at the fault area and the set content of the abnormal element at the fault area, and determining the wear degree of the part at the fault area;
carrying out maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor;
and comparing the wear degree of the parts of the compressor with the equal weight analysis value of the wear degree of the parts at the fault area, and determining the fault position and the wear degree of the severely worn parts in the fault area as the wear degree of the fault parts of the compressor.
5. The compressor fault diagnosis method according to any one of claims 1 to 4, further comprising:
and evaluating the wear state of the compressor according to the wear degree of the fault parts of the compressor.
6. The compressor fault diagnosis method according to claim 5, wherein evaluating a wear state of the compressor based on a degree of wear of a part of the compressor at the fault location includes:
evaluating the wear state of the compressor according to the area of the wear degree of the part of the compressor at the fault position in the set wear state evaluation parameter;
when at least one of the fault position and the displacement of the compressor is changed, the wear degree of the part of the compressor at the fault position is weighted and compensated according to at least one of the changed fault position and the displacement, and then the wear state of the compressor is evaluated according to the wear degree of the part of the compressor at the fault position after the weighted compensation.
7. A compressor failure diagnosis device characterized by comprising:
the acquisition unit is configured to acquire oil information of lubricating oil in the compressor and acquire vibration parameters of the compressor;
a diagnosis unit configured to determine a fault region of the compressor according to the oil information;
the diagnosis unit is further configured to determine a fault position of the compressor according to the vibration parameter;
the diagnosis unit is further configured to determine the degree of wear of the faulty part of the compressor according to the fault region and the fault location.
8. The compressor failure diagnosis device according to claim 7, wherein the acquisition unit acquires oil information of the lubricant oil inside the compressor, and includes:
monitoring the lubricating oil in the compressor by using a spectrum analyzer to obtain concentration change parameters of each element in the lubricating oil in the compressor, wherein the concentration change parameters are used as oil information of the lubricating oil in the compressor;
the obtaining unit obtains a vibration parameter of the compressor, including:
and arranging more than one test point required to be subjected to fault diagnosis on the surface of the shell of the compressor, and measuring the vibration amplitude of each test point to be used as the vibration parameter of the compressor.
9. The compressor failure diagnosis device according to claim 8, wherein,
the diagnosis unit determines a fault area of the compressor according to the oil information, and comprises:
determining at least one element as an abnormal element if the concentration change parameter of at least one element in the concentration change parameters of the elements in the lubricating oil in the compressor exceeds a set concentration;
determining a coating area of the coating to which the abnormal element belongs on the internal parts of the compressor as a fault area of the compressor;
the diagnosis unit determines the fault position of the compressor according to the vibration parameter, and comprises:
if the vibration amplitude of at least one test point in the vibration amplitudes of more than one test point exceeds a set amplitude, determining that at least one test point is a fault point;
and determining the position of the fault point on the shell surface of the compressor as the fault position of the compressor.
10. The compressor failure diagnosis device according to claim 9, wherein the diagnosis unit determines a degree of wear of the failed part of the compressor based on the failure region and the failure location, includes:
determining the wear degree of the part at the fault position according to the current vibration amplitude of the test point at the fault position and the set amplitude of the test point at the fault position;
determining an equal weight analysis value of the wear degree of the part at the fault area according to the current content of the abnormal element at the fault area and the set content of the abnormal element at the fault area, and determining the wear degree of the part at the fault area;
carrying out maximum-minimum composite processing on the wear degree of the part at the fault position and the wear degree of the part at the fault area to obtain the wear degree of the part of the compressor;
and comparing the wear degree of the parts of the compressor with the equal weight analysis value of the wear degree of the parts at the fault area, and determining the fault position and the wear degree of the severely worn parts in the fault area as the wear degree of the fault parts of the compressor.
11. The compressor failure diagnosis device according to any one of claims 7 to 10, further comprising:
the diagnostic unit is further configured to evaluate a wear state of the compressor according to a degree of wear of a malfunctioning part of the compressor.
12. The compressor failure diagnosis device according to claim 11, wherein the diagnosis unit evaluates a wear state of the compressor based on a degree of wear of a part of the compressor at the failure position, including:
evaluating the wear state of the compressor according to the area of the wear degree of the part of the compressor at the fault position in the set wear state evaluation parameter;
when at least one of the fault position and the displacement of the compressor is changed, the wear degree of the part of the compressor at the fault position is weighted and compensated according to at least one of the changed fault position and the displacement, and then the wear state of the compressor is evaluated according to the wear degree of the part of the compressor at the fault position after the weighted compensation.
13. A compressor, comprising: a compressor failure diagnosis apparatus according to any one of claims 7 to 12.
14. A storage medium characterized by comprising a stored program, wherein an apparatus in which the storage medium is located is controlled to perform the compressor failure diagnosis method according to any one of claims 1 to 6 when the program is executed.
15. A processor, characterized in that the processor is configured to run a program, wherein the program is run to execute the compressor fault diagnosis method according to any one of claims 1 to 6.
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