CN117780574A - Intelligent diagnosis system for wind power generation faults - Google Patents
Intelligent diagnosis system for wind power generation faults Download PDFInfo
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- CN117780574A CN117780574A CN202410118120.5A CN202410118120A CN117780574A CN 117780574 A CN117780574 A CN 117780574A CN 202410118120 A CN202410118120 A CN 202410118120A CN 117780574 A CN117780574 A CN 117780574A
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- 238000010248 power generation Methods 0.000 title claims abstract description 25
- 238000003745 diagnosis Methods 0.000 title claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 23
- 238000000034 method Methods 0.000 claims abstract description 17
- 230000008569 process Effects 0.000 claims abstract description 12
- 230000009467 reduction Effects 0.000 claims description 10
- 238000004140 cleaning Methods 0.000 claims description 6
- 239000004519 grease Substances 0.000 claims description 6
- 230000000903 blocking effect Effects 0.000 claims description 4
- 239000000428 dust Substances 0.000 claims description 3
- 230000017525 heat dissipation Effects 0.000 claims description 3
- 238000005461 lubrication Methods 0.000 claims description 3
- 238000007430 reference method Methods 0.000 claims description 3
- 230000003068 static effect Effects 0.000 claims description 3
- 238000013024 troubleshooting Methods 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 description 6
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003915 air pollution Methods 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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Abstract
The invention relates to the technical field of wind power generation, in particular to an intelligent diagnosis system for wind power generation faults, which comprises a fan fault monitoring module, a judging module, an expert system and a solution reference module; the fan fault monitoring module is used for monitoring various fault conditions generated by the fan; the judging module is used for judging the reason of the fan failure; the expert system completes the reasoning and judging process according to the knowledge and experience provided by the expert in the field; according to the invention, the common faults of the fan can be monitored in real time through the fan fault monitoring module, various fault phenomenon information is sent to the judging module, the judging module carries out targeted comparison through the information of the knowledge base and the case base in the expert system, and the comparison information is sent to the solution reference module, and the solution reference module is used for providing a targeted fault checking scheme for staff, so that the fault checking efficiency can be improved, a great amount of time is saved, and the solution reference module has a good reference value for the staff with insufficient experience.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to an intelligent diagnosis system for wind power generation faults.
Background
The wind power generation is to convert the kinetic energy of wind into mechanical kinetic energy and then convert the mechanical energy into electric kinetic energy, which is the principle of wind power generation, and the principle of wind power generation is to drive windmill blades to rotate by using wind power, and then to promote the rotating speed through a speed increaser so as to promote the generator to generate electricity. According to the current windmill technology, the generation of electricity can be started at a breeze speed (breeze degree) of about three meters per second, and wind power generation forms a hot tide in the world because the wind power generation does not need to use fuel and does not generate radiation or air pollution.
Various faults can be inevitably generated in the long-time use process of the wind generating set, the reasons for generating faults are different according to the use conditions of all parts of the fan, when the fan faults occur, the fan needs to be subjected to fault checking and maintenance in time, the old master with rich experience can probably judge what part is subjected to the faults through the fault conditions, the specific checking can be performed, and workers with insufficient experience can only check one by one, a large amount of time is wasted, and the fault checking efficiency is low, so that the intelligent diagnosis system for the wind power generation faults is provided according to the problems.
Disclosure of Invention
The invention aims to provide an intelligent diagnosis system for wind power generation faults, which aims to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
as an alternative to the intelligent diagnosis system for wind power generation faults, the invention provides the following steps: the intelligent diagnosis system for wind power generation faults comprises a fan fault monitoring module, a judging module, an expert system, a display module and a solution reference module;
the fan fault monitoring module is used for monitoring various fault conditions generated by the fan and sending data acquired by monitoring to the judging module;
the judging module is used for judging the reason of the fan failure;
the expert system is a program system for completing the reasoning and judging process according to the knowledge and experience provided by the expert in the field, simulating the decision process of the expert, storing rich knowledge base and case base in the expert system, and transmitting the information to the judging module for the judging module to compare fault data;
the display module is used for displaying fault conditions which are not found in the expert system;
the solution reference module is used for providing a targeted checking method for various fan fault conditions monitored by the fan fault monitoring module.
Various faults can be inevitably generated in the long-time use process of the wind generating set, the reasons for generating the faults are different according to the use conditions of all parts of the wind generating set, the faults are required to be checked and maintained in time when the faults of the wind generating set occur, an old master with rich experience can judge what part is in a problem through the fault conditions, the faults can be checked in a targeted manner, and for some workers with insufficient experience, only one person can check the faults, a large amount of time is wasted, and the fault checking efficiency is low.
As an alternative to the intelligent diagnosis system for wind power generation faults, the invention provides the following steps: the fan fault monitoring module monitors the fault conditions through various sensors as follows: fan failure to rotate, fan noise increase, vibration increase, temperature increase, pressure decrease, and flow decrease.
As an alternative to the intelligent diagnosis system for wind power generation faults, the invention provides the following steps: the judging module judges the reason for the fan not rotating: the failure reference scheme provided by the solution reference module is as follows: switching on a power supply, checking wiring of a motor, repairing or replacing a fan head and removing foreign matters;
the judging module judges the fan noise increase fault for the following reasons: bearing dry lubrication, impeller wear, fastener loosening or falling off, and the fault reference scheme provided by the solution reference module is: adding bearing grease or replacing a bearing, replacing an impeller, tightening a fastener and removing foreign matters;
the judging module judges the reasons of the fault of the fan vibration increase as follows: bearing damage, impeller unbalance, main shaft deformation, working state entering turbulence area and filter screen blocking of inlet and outlet, and the fault reference scheme provided by the solution reference module is: replacing the bearing, eliminating obligations in the impeller or correcting dynamic and static balance, replacing the main shaft, adjusting the working state to avoid a turbulent vibration area and cleaning the filter screen;
the judging module judges the reasons of the fault of the temperature rise of the fan as follows: the air inlet temperature is too high, the bearing is dry-lubricated, the fan efficiency is reduced, the working state is changed and the ambient temperature is increased, and the fault reference scheme provided by the solution reference module is as follows: reducing the temperature of an air inlet, adding bearing grease, removing dust on a leaf path, adjusting the working state and increasing the ventilation and heat dissipation of the environment;
the judging module judges the reasons of the failure of the fan pressure reduction as follows: the rotation speed is reduced, the pipe network resistance is increased, the working state is changed and the motor is reversed, and the fault reference scheme provided by the solution reference module is as follows: the power supply voltage is lower or the motor fails, the pipe network resistance is reduced, the working state is adjusted, and the motor is rewiring.
As an alternative to the intelligent diagnosis system for wind power generation faults, the invention provides the following steps: the judging module judges the reasons of the failure of the flow reduction of the fan as follows: the inlet and outlet air filter screen is blocked, the rotation speed is reduced, the pipe network resistance is increased, the working state is increased and the motor steering is reversed, and the fault reference scheme provided by the solution reference module is as follows: cleaning a filter screen, reducing power supply voltage or motor faults, reducing pipe network resistance, adjusting working state and rewiring the motor.
The arrangement can provide a targeted investigation scheme aiming at the reason that a specific fan is faulty, is beneficial to staff to carry out investigation according to the provided investigation scheme, can improve the working efficiency and saves a large amount of time.
As an alternative to the intelligent diagnosis system for wind power generation faults, the invention provides the following steps: the reference method for troubleshooting of the solution reference module comprises; the fan non-rotation fault reference scheme, the fan noise increase fault reference scheme, the fan vibration increase fault reference scheme, the fan temperature increase fault reference scheme, the fan pressure decrease fault reference scheme and the fan flow reduction reference scheme.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the common faults of the fan can be monitored in real time through the fan fault monitoring module, various fault phenomenon information is sent to the judging module, the judging module carries out targeted comparison through the information of the knowledge base and the case base in the expert system, and the comparison information is sent to the solution reference module, and the solution reference module is used for providing a targeted fault checking scheme for staff, so that the fault checking efficiency can be improved, a great amount of time is saved, and the solution reference module has a good reference value for the staff with insufficient experience.
Drawings
FIG. 1 is a flow chart of the intelligent diagnosis system for wind power generation faults.
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.
Example 1
Referring to fig. 1, the present invention provides a technical solution:
the intelligent diagnosis system for wind power generation faults comprises a fan fault monitoring module, a judging module, an expert system, a display module and a solution reference module;
the fan fault monitoring module is used for monitoring various fault conditions generated by the fan and sending data acquired by monitoring to the judging module;
the judging module is used for judging the reason of the fan failure;
the expert system is a program system for completing the reasoning and judging process according to the knowledge and experience provided by the expert in the field, simulating the decision process of the expert, storing rich knowledge base and case base in the expert system, and transmitting the information to the judging module for the judging module to compare fault data;
the display module is used for displaying fault conditions which are not found in the expert system;
the solution reference module is used for providing a targeted checking method for various fan fault conditions monitored by the fan fault monitoring module.
The wind generating set inevitably generates various faults in the long-time use process, the reasons for generating faults are different according to the use conditions of all parts of the wind generating set, and when the faults of the wind generating set occur, the faults are required to be checked and maintained in time, an old master with rich experience can judge what part is about to generate problems according to the fault conditions, the faults can be checked in a targeted manner, and for some workers with insufficient experience, the faults can only be checked in a single manner, a large amount of time is wasted, and the fault checking efficiency is low.
Example 2
In this embodiment, as an improvement of embodiment 1, please refer to fig. 1, specifically, the fan fault monitoring module monitors the fault conditions through various sensors as follows: fan failure to rotate, fan noise increase, vibration increase, temperature increase, pressure decrease, and flow decrease.
The reference method for troubleshooting of the solution reference module comprises the following steps; the fan non-rotation fault reference scheme, the fan noise increase fault reference scheme, the fan vibration increase fault reference scheme, the fan temperature increase fault reference scheme, the fan pressure decrease fault reference scheme and the fan flow reduction reference scheme.
The judging module judges the reason for the fan not rotating: the failure reference scheme provided by the solution reference module is as follows: switching on a power supply, checking wiring of a motor, repairing or replacing a fan head and removing foreign matters;
the reason why the judging module judges the fan noise increase fault is as follows: bearing dry lubrication, impeller wear, fastener loosening or falling off, and the fault reference scheme provided by the solution reference module is: adding bearing grease or replacing a bearing, replacing an impeller, tightening a fastener and removing foreign matters;
the reason why the judging module judges the fault of the fan vibration increase is as follows: bearing damage, impeller unbalance, main shaft deformation, working state entering turbulence area and filter screen blocking of inlet and outlet, and the fault reference scheme provided by the solution reference module is: replacing the bearing, eliminating obligations in the impeller or correcting dynamic and static balance, replacing the main shaft, adjusting the working state to avoid a turbulent vibration area and cleaning the filter screen;
the reason why the judging module judges the fault of the temperature rise of the fan is as follows: the air inlet temperature is too high, the bearing is dry-lubricated, the fan efficiency is reduced, the working state is changed and the ambient temperature is increased, and the fault reference scheme provided by the solution reference module is as follows: reducing the temperature of an air inlet, adding bearing grease, removing dust on a leaf path, adjusting the working state and increasing the ventilation and heat dissipation of the environment;
the reason why the judging module judges the failure of the fan pressure reduction is as follows: the rotation speed is reduced, the pipe network resistance is increased, the working state is changed and the motor is reversed, and the fault reference scheme provided by the solution reference module is as follows: the power supply voltage is lower or the motor fails, the resistance of a pipe network is reduced, the working state is adjusted, and the motor is rewiring;
the reason why the judging module judges the failure of the fan flow reduction is as follows: the inlet and outlet air filter screen is blocked, the rotation speed is reduced, the pipe network resistance is increased, the working state is increased and the motor steering is reversed, and the fault reference scheme provided by the solution reference module is as follows: cleaning a filter screen, reducing power supply voltage or motor faults, reducing pipe network resistance, adjusting working state and rewiring the motor.
The arrangement can provide a targeted investigation scheme aiming at the reason that a specific fan is faulty, is beneficial to staff to carry out investigation according to the provided investigation scheme, can improve the working efficiency and saves a large amount of time.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. An intelligent diagnosis system for wind power generation faults is characterized in that:
the system comprises a fan fault monitoring module, a judging module, an expert system, a display module and a solution reference module;
the fan fault monitoring module is used for monitoring various fault conditions generated by the fan and sending data acquired by monitoring to the judging module;
the judging module is used for judging the reason of the fan failure;
the expert system is a program system for completing the reasoning and judging process according to the knowledge and experience provided by the expert in the field, simulating the decision process of the expert, storing rich knowledge base and case base in the expert system, and transmitting the information to the judging module for the judging module to compare fault data;
the display module is used for displaying fault conditions which are not found in the expert system;
the solution reference module is used for providing a targeted checking method for various fan fault conditions monitored by the fan fault monitoring module.
2. The intelligent diagnosis system for wind power generation faults according to claim 1, wherein: the fan fault monitoring module monitors the fault conditions through various sensors as follows: fan failure to rotate, fan noise increase, vibration increase, temperature increase, pressure decrease, and flow decrease.
3. The intelligent diagnosis system for wind power generation faults according to claim 1, wherein: the judging module judges the reason for the fan not rotating: the power supply is not switched on, the motor does not work, the fan head is damaged, and foreign matters in the fan are blocked;
the judging module judges the fan noise increase fault for the following reasons: bearing dry lubrication, impeller wear, fastener loosening or falling off;
the judging module judges the reasons of the fault of the fan vibration increase as follows: bearing damage, unbalanced impeller, main shaft deformation, working state entering turbulence area and filter screen blocking of inlet and outlet;
the judging module judges the reasons of the fault of the temperature rise of the fan as follows: the temperature of the air inlet is too high, the bearings are dry-lubricated, the efficiency of the fan is reduced, the working state is changed, and the ambient temperature is increased;
the judging module judges the reasons of the failure of the fan pressure reduction as follows: the rotation speed is reduced, the pipe network resistance is increased, the working state is changed, and the motor steering is reversed;
the judging module judges the reasons of the failure of the flow reduction of the fan as follows: blocking an air filter screen at the inlet and the outlet, reducing the rotating speed, increasing the resistance of a pipe network, increasing the working state and reversing the steering direction of a motor.
4. The intelligent diagnosis system for wind power generation faults according to claim 1, wherein: the reference method for troubleshooting of the solution reference module comprises; a fan non-rotation fault reference scheme, a fan noise increase fault reference scheme, a fan vibration increase fault reference scheme, a fan temperature increase fault reference scheme, a fan pressure decrease fault reference scheme and a fan flow decrease reference scheme;
the fan non-rotation fault reference scheme includes: switching on a power supply, checking wiring of a motor, repairing or replacing a fan head and removing foreign matters;
the fan noise increase fault reference scheme includes: adding bearing grease or replacing a bearing, replacing an impeller, tightening a fastener and removing foreign matters;
the fan vibration increasing fault reference scheme includes: replacing the bearing, eliminating obligations in the impeller or correcting dynamic and static balance, replacing the main shaft, adjusting the working state to avoid a turbulent vibration area and cleaning the filter screen;
the fan temperature rise fault reference scheme includes: reducing the temperature of an air inlet, adding bearing grease, removing dust on a leaf path, adjusting the working state and increasing the ventilation and heat dissipation of the environment;
the fan pressure reduction fault reference scheme includes: the power supply voltage is lower or the motor fails, the resistance of a pipe network is reduced, the working state is adjusted, and the motor is rewiring;
the fan flow reduction reference scheme includes: cleaning a filter screen, reducing power supply voltage or motor faults, reducing pipe network resistance, adjusting working state and rewiring the motor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410118120.5A CN117780574A (en) | 2024-01-29 | 2024-01-29 | Intelligent diagnosis system for wind power generation faults |
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| CN202410118120.5A CN117780574A (en) | 2024-01-29 | 2024-01-29 | Intelligent diagnosis system for wind power generation faults |
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| CN202410118120.5A Pending CN117780574A (en) | 2024-01-29 | 2024-01-29 | Intelligent diagnosis system for wind power generation faults |
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