CN116292147A - Fan transmission system fault diagnosis device and method - Google Patents
Fan transmission system fault diagnosis device and method Download PDFInfo
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- CN116292147A CN116292147A CN202310402541.6A CN202310402541A CN116292147A CN 116292147 A CN116292147 A CN 116292147A CN 202310402541 A CN202310402541 A CN 202310402541A CN 116292147 A CN116292147 A CN 116292147A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 61
- 230000005540 biological transmission Effects 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 91
- 230000002159 abnormal effect Effects 0.000 claims abstract description 26
- 238000012423 maintenance Methods 0.000 claims abstract description 15
- 230000001364 causal effect Effects 0.000 claims abstract description 13
- 238000004891 communication Methods 0.000 claims abstract description 11
- 238000000605 extraction Methods 0.000 claims abstract description 7
- 239000000284 extract Substances 0.000 claims abstract description 5
- 239000010687 lubricating oil Substances 0.000 claims description 91
- 230000001133 acceleration Effects 0.000 claims description 27
- 239000003921 oil Substances 0.000 claims description 13
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 12
- 208000024891 symptom Diseases 0.000 claims description 10
- 229910052742 iron Inorganic materials 0.000 claims description 6
- 239000000523 sample Substances 0.000 claims description 4
- 239000013307 optical fiber Substances 0.000 claims 1
- 239000000835 fiber Substances 0.000 abstract description 4
- 239000000314 lubricant Substances 0.000 description 14
- 238000005461 lubrication Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007797 corrosion Effects 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
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- 230000003287 optical effect Effects 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention relates to a fan transmission system fault diagnosis device and method, wherein the system comprises a device state monitoring system, a communication system and a diagnosis system, the device state monitoring system comprises a plurality of sensors which are arranged at each key part of the fan transmission system; the communication system transmits sensor data to an industrial router arranged on a tower foundation through a mesh network 5G frequency band signal, the industrial router is connected to a tower bottom fiber channel switch to be transmitted to a central control room of a station through a fan fiber ring network after receiving the sensor data, the diagnosis system is arranged on a server of the central control room and comprises an abnormal feature extraction module and a fault diagnosis module, and the server extracts the received sensor data, extracts abnormal features and transmits the abnormal features to the fault diagnosis module; the fault diagnosis module infers the fault reason through a causal graph model according to the abnormal characteristics and gives corresponding maintenance measures.
Description
Technical Field
The invention relates to a fan transmission system fault diagnosis device and method, and belongs to the field of wind turbine generator transmission system fault diagnosis.
Background
The wind turbine generator system transmission system is a precise multi-equipment system, is equivalent to the central nerve of the wind turbine generator system, is the key for converting wind energy into mechanical energy, and can directly influence the normal operation of the wind turbine generator system due to the failure of the transmission system. The wind turbine generator is often located in special zones, such as the sea and the mountain, and because of the special nature of the natural environment in the zones, great challenges are brought to the healthy and stable operation of the wind turbine generator, the wind turbine generator is exposed outdoors for a long time, the corrosion of the natural environment and the influence of weather can all influence the performance and the service life of transmission system equipment, so that the state monitoring and the fault diagnosis maintenance of the transmission system of the wind turbine generator are significant to the safe and economic operation of the wind turbine generator.
The state monitoring and fault diagnosis maintenance work of the existing transmission system is mainly completed by a host manufacturer, the real-time monitoring of temperature and vibration signals of transmission system equipment including a gear box, a main shaft, fan blades and the like is realized based on SCADA system monitoring parameters, and whether the transmission system equipment is abnormal or not is judged according to whether the transmission system equipment exceeds an operation threshold value or not. The state monitoring parameters and SCADA information are reasonably utilized, potential fault symptoms are identified by means of intelligent diagnosis and diagnosis methods, potential fault modes are positioned, predictive maintenance can be achieved, and major accidents are avoided. However, the monitoring means performs fault diagnosis only for one or two or three features and determines whether an abnormality is unilateral according to whether an operation threshold is exceeded.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a fan transmission system fault diagnosis device and a fan transmission system fault diagnosis method.
The technical scheme of the invention is as follows:
in one aspect, the invention provides a fan transmission system fault diagnosis device, which comprises a device state monitoring system, a communication system and a diagnosis system;
the equipment state monitoring system comprises a data acquisition module;
the data acquisition module comprises: the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil pressure monitoring data acquisition unit, a lubricating oil quality acquisition unit, a vibration monitoring data acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit; the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil quality acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit, wherein the lubricating oil temperature monitoring data acquisition unit is used for acquiring temperature data of lubricating oil, the lubricating oil pressure monitoring data acquisition unit is used for acquiring pressure data of the lubricating oil, the lubricating oil quality acquisition unit is used for acquiring oil quality data of the lubricating oil, the vibration monitoring data acquisition unit is used for acquiring vibration data of a transmission system, the audio monitoring data acquisition unit is used for acquiring audio data of the transmission system, and the image video data acquisition unit is used for acquiring image data and video data of the transmission system;
the communication system comprises a wireless transmission module, a mesh router and a switch, wherein each acquisition unit in the data acquisition module is provided with the wireless transmission module, each wireless transmission module and the mesh router form a mesh network, the mesh router is used for collecting data and uploading the data to the switch, and the switch is in communication connection with a station side server through a fan ring network;
the diagnosis system comprises an abnormal characteristic extraction module and a fault diagnosis module;
the abnormal characteristic extraction module is arranged in the station side server, extracts abnormal characteristic data from the collected data transmitted by the switch through user-defined rules, and inputs the abnormal characteristic data into the fault diagnosis module;
the fault diagnosis module is arranged in the station side server, and is used for checking fault reasons through a knowledge inquiry unit based on a semantic network and a diagnosis reasoning unit based on a causal graph model according to the abnormal characteristic data and providing corresponding maintenance measures.
As a preferred embodiment, the lubricating oil temperature monitoring data acquisition unit comprises five lubricating oil temperature monitoring sensors;
the first lubricating oil temperature monitoring sensor is arranged in the lubricating oil pool, the second lubricating oil temperature monitoring sensor is arranged at the inlet of the lubricating oil pool, and the third lubricating oil temperature monitoring sensor is arranged at the outlet of the lubricating oil pool; the fourth lubricating oil temperature monitoring sensor is arranged at the front end of the high-speed shaft, and the fifth lubricating oil temperature monitoring sensor is arranged at the rear end of the high-speed shaft of the gearbox.
As a preferred embodiment, the lubricating oil pressure monitoring data acquisition unit includes two lubricating oil pressure sensors.
The first lubricating oil pressure sensor is arranged at the inlet of the lubricating oil pool, and the second lubricating oil pressure sensor is arranged at the outlet of the lubricating oil pool.
As a preferred embodiment, the lubricating oil quality acquisition unit comprises two lubricating oil ferrographs;
the first lubricating oil iron spectrometer is arranged in the lubricating oil pool, and the second lubricating oil iron spectrometer is arranged at the outlet of the lubricating oil pool.
As a preferred embodiment, the vibration monitoring data acquisition unit comprises six vibration acceleration sensors;
the first vibration acceleration sensor is arranged at the front end of the high-speed shaft, and the second vibration acceleration sensor is arranged at the rear end of the high-speed shaft; the third vibration acceleration sensor is arranged at the front end of the low-speed shaft, and the fourth vibration acceleration sensor is arranged at the rear end of the low-speed shaft; arranged on the gear case is a fifth vibration acceleration sensor; and a sixth vibration acceleration sensor is arranged on the inner side of the fan blade.
As a preferred embodiment, the audio monitoring data module acquisition unit comprises an audio monitoring sensor;
disposed inside the gearbox is a first audio monitoring sensor.
As a preferred embodiment, the image video data acquisition unit comprises a miniature probe;
disposed inside the gear box is a first microprobe.
As a preferred embodiment, the fault diagnosis module diagnoses rules as follows: from symptoms of the fault to failure modes to failure causes;
the knowledge inquiry unit determines an abnormal mode through the abnormal characteristic data, and inquires a fault mode sequence when single or multiple fault symptoms appear on the basis of a semantic network as the fault symptoms;
the diagnosis reasoning unit determines prior probability and posterior probability by combining the actual field situation based on a causal graph model through the fault mode sequence, determines the probability of each fault cause and provides a corresponding maintenance strategy.
As a preferred embodiment, the probability of the prior probability being the cause of the fault is determined by experience of field maintenance personnel; the posterior probability is determined by the degree of influence of the fault cause on the fault.
On the other hand, the invention also provides a fan transmission system fault diagnosis method, and the fan transmission system fault diagnosis device is adopted for diagnosis.
The invention has the following beneficial effects:
1. the invention provides a fan transmission system fault diagnosis device, which records multiple monitoring data by placing multiple sensors at key equipment positions in a fan transmission system, and solves the problems of fewer monitoring means and less monitoring signal types of existing host factories.
2. The invention provides a fan transmission system fault diagnosis device, which ensures the stability of data transmission through a fan internal sensor mesh networking strategy.
3. The invention provides a fan transmission system fault diagnosis device, which improves the accuracy of fault and fault reason prediction by using a fault diagnosis module of a causal reasoning model, provides relevant maintenance measures according to the fault reason, adjusts the running state of a fan according to specific maintenance measures, observes the change of the analysis result of each sensor so as to confirm the specific fault reason, and has guiding significance for the work of overhaulers.
Drawings
Fig. 1 is a data transmission flow chart according to an embodiment of the present invention.
Fig. 2 is a sensor arrangement structural diagram of an embodiment of the present invention.
FIG. 3 is a diagram of a causal inference model in accordance with an embodiment of the present invention.
1. A gear box; 2. the front end of the high-speed shaft; 3. the rear end of the high-speed shaft; 4. the front end of the low-speed shaft; 5. the rear end of the low-speed shaft; 6. a lubricating oil pool; 7. a lubrication oil pool outlet; 8. an inlet for a lubricating oil pool; 9. a fan blade; 10. a mesh router; 11. a switch; 100. a first lube oil temperature monitoring sensor; 101. a second lubricant temperature monitoring sensor; 102. a third lubricant temperature monitoring sensor; 103. a fourth lubricating oil temperature monitoring sensor; 104. a fifth lubricating oil temperature monitoring sensor; 200. a first lubrication oil pressure sensor; 201. a second lubrication oil pressure sensor; 300. a first lubricating oil ferrograph; 301. a second lubricating oil ferrograph; 400. a first vibration acceleration sensor; 401. a second vibration acceleration sensor; 402. a third vibration acceleration sensor; 403. a fourth vibration acceleration sensor; 404. a fifth vibration acceleration sensor; 405. a sixth vibration acceleration sensor; 500. a first audio monitoring sensor; 600. a first microprobe.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the step numbers used herein are for convenience of description only and are not limiting as to the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Embodiment one:
a fan drive system fault diagnosis device and method includes a device state monitoring system, a communication system and a diagnosis system;
the equipment state monitoring system comprises a data acquisition module;
the data acquisition module comprises: the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil pressure monitoring data acquisition unit, a lubricating oil quality acquisition unit, a vibration monitoring data acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit which are arranged on a fan transmission system part; the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil quality acquisition unit, a vibration monitoring data acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit, wherein the lubricating oil temperature monitoring data acquisition unit is used for acquiring temperature data of lubricating oil, the lubricating oil quality acquisition unit is used for acquiring oil quality data of the lubricating oil, the vibration monitoring data acquisition unit is used for acquiring vibration data of a transmission system, the audio monitoring data acquisition unit is used for acquiring audio data of the transmission system, and the image video data acquisition unit is used for acquiring image data and video data of the transmission system; as a preferred implementation manner of this embodiment, the lubricating oil temperature monitoring data acquisition module includes five lubricating oil temperature monitoring sensors and two lubricating oil pressure sensors;
as a preferred implementation manner of this embodiment, the lubricating oil temperature monitoring data acquisition unit includes five lubricating oil temperature monitoring sensors;
referring to fig. 2, a lubricant oil temperature monitoring sensor 100 is disposed in the lubricant sump 6, a lubricant oil temperature monitoring sensor 101 is disposed in the lubricant sump inlet 8, and a lubricant oil temperature monitoring sensor 102 is disposed in the lubricant sump outlet 7; a lubricant oil temperature monitoring sensor 103 is arranged at the front end 2 of the high-speed shaft, and a lubricant oil temperature monitoring sensor 104 is arranged at the rear end 3 of the high-speed shaft of the gearbox.
As a preferred implementation of the present embodiment, the lubricating oil pressure monitoring data acquisition unit includes two lubricating oil pressure sensors;
a lubricant pressure sensor 200 is arranged at the lubricant sump inlet 8 and a lubricant pressure sensor 201 is arranged at the lubricant sump outlet 7.
As a preferred implementation manner of this example, the lubricating oil quality acquisition unit includes two lubricating oil ferrographs;
referring to fig. 2, a lubricating oil iron spectrometer 300 is disposed in the lubricating oil sump 6, and a lubricating oil iron spectrometer 301 is disposed in the lubricating oil sump outlet 7.
As a preferred implementation of the present embodiment, the vibration monitoring data acquisition unit includes six vibration acceleration sensors;
referring to fig. 2, a vibration acceleration sensor 400 is disposed at the front end 2 of the high-speed shaft, and a vibration acceleration sensor 401 is disposed at the rear end 3 of the high-speed shaft; a vibration acceleration sensor 402 is arranged at the front end 4 of the low-speed shaft, and a vibration acceleration sensor 403 is arranged at the rear end 5 of the low-speed shaft; a vibration acceleration sensor 404 is arranged on the gear box 1 body; a vibration acceleration sensor 405 is arranged inside the fan blade 9.
As a preferred implementation of this embodiment, the audio monitoring data module acquisition unit includes an audio monitoring sensor;
referring to fig. 2, an audio monitoring sensor 500 is disposed inside the gear case 1.
As a preferred implementation of this embodiment, the image video data acquisition unit includes a micro probe;
referring to fig. 2, a micro probe 600 is disposed inside the gear case 1.
Referring to fig. 1, the communication system includes a wireless transmission module, a mesh router 10 and a switch 11, each acquisition unit in the data acquisition module is provided with the wireless transmission module, each wireless transmission module and the mesh router 10 form a mesh network, the mesh router performs data collection and uploads the data to the switch 11, and the switch 11 is in communication connection with a station side server.
As a preferred implementation manner of this embodiment, the transmission procedure of the wireless transmission module is:
the sensor is networked through a mesh, data are summarized and then transmitted to the mesh router, the mesh router transmits the data to an ap industrial router arranged on a tower foundation, and the ap industrial router receives sensor signals at a cabin and then is connected to a tower bottom fiber channel switch to be transmitted to a server of a central control room of a station through a fan fiber ring network.
Referring to fig. 1, the diagnostic system includes an abnormal feature extraction module and a fault diagnosis module;
the abnormal characteristic extraction module is arranged in the station side server, extracts abnormal characteristic data from the collected data transmitted by the switch through user-defined rules, and inputs the abnormal characteristic data into the fault diagnosis module;
the fault diagnosis module is arranged in the station side server, and is used for checking fault reasons through a knowledge inquiry unit based on a semantic network and a diagnosis reasoning unit based on a causal graph model according to the abnormal characteristic data and providing corresponding maintenance measures.
As a preferred implementation manner of this embodiment, the fault diagnosis module diagnoses rules as follows: from symptoms of the fault to failure modes to failure causes;
the knowledge inquiry unit determines an abnormal mode through the abnormal characteristic data, and inquires a fault mode sequence when single or multiple fault symptoms appear on the basis of a semantic network as the fault symptoms;
the diagnosis reasoning unit determines prior probability and posterior probability by combining the actual field situation based on a causal graph model through the fault mode sequence, determines the probability of each fault cause and provides a corresponding maintenance strategy.
Referring to fig. 3, each element in the causal reasoning model represents:
(1) Square node F i Representing a fault mode, corresponding to a top event in the fault tree;
(2) Round node C i Indicating the reasons of each fault and corresponding to the reasonsBottom event in Barrier Tree, C iP A priori probabilities representing the cause;
(3) Directional connecting line l i Indicating the cause of failure C i And failure mode F i Causal relationship between l iP A causal strength, l, representing causal relation between the cause and the failure mode i All fault causes of the connection that point to the same fault mode are logically or-related.
As a preferred implementation manner of the present embodiment, the prior probability is a probability of a failure cause, and is determined by experience of field maintenance personnel; the posterior probability is determined by the degree of influence of the fault cause on the fault.
In the embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relation of association objects, and indicates that there may be three kinds of relations, for example, a and/or B, and may indicate that a alone exists, a and B together, and B alone exists. Wherein A, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of the following" and the like means any combination of these items, including any combination of single or plural items. For example, at least one of a, b and c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple.
Those of ordinary skill in the art will appreciate that the various elements and algorithm steps described in the embodiments disclosed herein can be implemented as a combination of electronic hardware, computer software, and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In several embodiments provided herein, any of the functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (hereinafter referred to as ROM), a random access Memory (Random Access Memory) and various media capable of storing program codes such as a magnetic disk or an optical disk.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes or direct or indirect application in other related technical fields are included in the scope of the present invention.
Claims (10)
1. The fan transmission system fault diagnosis device is characterized by comprising a device state monitoring system, a communication system and a diagnosis system;
the equipment state monitoring system comprises a data acquisition module;
the data acquisition module comprises: the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil pressure monitoring data acquisition unit, a lubricating oil quality acquisition unit, a vibration monitoring data acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit which are arranged on a fan transmission system part; the system comprises a lubricating oil temperature monitoring data acquisition unit, a lubricating oil quality acquisition unit, an audio monitoring data acquisition unit and an image video data acquisition unit, wherein the lubricating oil temperature monitoring data acquisition unit is used for acquiring temperature data of lubricating oil, the lubricating oil pressure monitoring data acquisition unit is used for acquiring pressure data of the lubricating oil, the lubricating oil quality acquisition unit is used for acquiring oil quality data of the lubricating oil, the vibration monitoring data acquisition unit is used for acquiring vibration data of a transmission system, the audio monitoring data acquisition unit is used for acquiring audio data of the transmission system, and the image video data acquisition unit is used for acquiring image data and video data of the transmission system;
the communication system comprises a wireless transmission module, a mesh router (10) and a switch (11), wherein each acquisition unit in the data acquisition module is provided with the wireless transmission module, each wireless transmission module and the mesh router (10) form a mesh network, the mesh router (10) collects data and uploads the data to the switch (11), and the switch (11) is in communication connection with a station central control room server through a fan optical fiber ring network;
the diagnosis system comprises an abnormal characteristic extraction module and a fault diagnosis module;
the abnormal characteristic extraction module is arranged in the station side server, extracts abnormal characteristic data from the collected data transmitted by the switch through user-defined rules, and inputs the abnormal characteristic data into the fault diagnosis module;
the fault diagnosis module is arranged in the station side server, and is used for checking fault reasons through a knowledge inquiry unit based on a semantic network and a diagnosis reasoning unit based on a causal graph model according to the abnormal characteristic data and providing corresponding maintenance measures.
2. The fan drive system fault diagnosis device according to claim 1, wherein the lubricating oil temperature monitoring data acquisition unit includes five lubricating oil temperature monitoring sensors;
the first lubricating oil temperature monitoring sensor (100) is arranged in the lubricating oil pool (6), the second lubricating oil temperature monitoring sensor (101) is arranged at the inlet (8) of the lubricating oil pool, and the third lubricating oil temperature monitoring sensor (102) is arranged at the outlet (7) of the lubricating oil pool; disposed at the front end (2) of the high-speed shaft is a fourth lubricating oil temperature monitoring sensor (103), and disposed at the rear end (3) of the gearbox is a fifth lubricating oil temperature monitoring sensor (104).
3. The fan drive system fault diagnosis assisting apparatus according to claim 1, wherein the lubricating oil pressure monitoring data acquisition unit includes two lubricating oil pressure sensors;
disposed at the sump inlet (8) is a first sump oil pressure sensor (200) and disposed at the sump outlet (7) is a second sump oil pressure sensor (201).
4. The fan drive system fault diagnosis device according to claim 1, wherein the lubricating oil quality acquisition unit comprises two lubricating oil ferrographs;
arranged in the lubricating oil sump (6) is a first lubricating oil iron spectrometer (300) and arranged in the lubricating oil sump outlet (7) is a second lubricating oil iron spectrometer (301).
5. The fan drive system fault diagnosis device according to claim 1, wherein the vibration monitoring data acquisition unit comprises six vibration acceleration sensors;
arranged at the front end (2) of the high-speed shaft is a first vibration acceleration sensor (400), and arranged at the rear end (3) of the high-speed shaft is a second vibration acceleration sensor (401); a third vibration acceleration sensor (402) is arranged at the front end (4) of the low-speed shaft, and a fourth vibration acceleration sensor (403) is arranged at the rear end (5) of the low-speed shaft; arranged on the body of the gearbox (1) is a fifth vibration acceleration sensor (404); and a sixth vibration acceleration sensor (405) is arranged on the inner side of the fan blade (9).
6. The fan drive system fault diagnosis device according to claim 1, wherein the audio monitoring data module acquisition unit comprises an audio monitoring sensor;
disposed inside the gearbox (1) is a first audio monitoring sensor (500).
7. The fan drive system fault diagnosis device according to claim 1, wherein the image video data acquisition unit comprises a micro probe;
disposed inside the gearbox (1) is a first microprobe (600).
8. The fan drive system fault diagnosis device according to claim 1, wherein the fault diagnosis module diagnoses rules as follows: from symptoms of the fault to failure modes to failure causes;
the knowledge inquiry unit determines an abnormal mode through the abnormal characteristic data, and inquires a fault mode sequence when single or multiple fault symptoms appear on the basis of a semantic network as the fault symptoms;
the diagnosis reasoning unit determines prior probability and posterior probability by combining the actual field situation based on a causal graph model through the fault mode sequence, determines the probability of each fault cause and provides a corresponding maintenance strategy.
9. The fan drive system fault diagnosis device according to claim 8, wherein the probability of the prior probability being the cause of the fault is determined by experience of field maintenance personnel; the posterior probability is determined by the degree of influence of the fault cause on the fault.
10. A fan drive system fault diagnosis method, characterized in that the fan drive system fault diagnosis device according to any one of claims 1 to 9 is employed for fault diagnosis.
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| CN202310402541.6A CN116292147A (en) | 2023-04-14 | 2023-04-14 | Fan transmission system fault diagnosis device and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117232577A (en) * | 2023-09-18 | 2023-12-15 | 杭州奥克光电设备有限公司 | Optical cable distributing box bearing interior monitoring method and system and optical cable distributing box |
| CN117782570A (en) * | 2024-02-28 | 2024-03-29 | 南京典格信息技术有限公司 | Mesh ad hoc network-based life prediction system and method for offshore wind turbine |
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2023
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117232577A (en) * | 2023-09-18 | 2023-12-15 | 杭州奥克光电设备有限公司 | Optical cable distributing box bearing interior monitoring method and system and optical cable distributing box |
| CN117232577B (en) * | 2023-09-18 | 2024-04-05 | 杭州奥克光电设备有限公司 | Optical cable distributing box bearing interior monitoring method and system and optical cable distributing box |
| CN117782570A (en) * | 2024-02-28 | 2024-03-29 | 南京典格信息技术有限公司 | Mesh ad hoc network-based life prediction system and method for offshore wind turbine |
| CN117782570B (en) * | 2024-02-28 | 2024-05-14 | 南京典格信息技术有限公司 | Mesh ad hoc network-based life prediction system and method for offshore wind turbine |
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