Fuzzy expert system-based fan safety chain fault analysis method and system

A technology of fuzzy expert system and fault analysis method, applied in fuzzy logic algorithm, wind turbine, control system application, etc., can solve problems such as shortening the service life of wind turbine, speeding up fault handling, reducing wind power conversion rate, etc. Accuracy, shortening the time of failure and maintenance, and the effect of convenient operation status

Active Publication Date: 2021-08-31
GUODIAN NANJING AUTOMATION
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Wind power generation refers to the power generation method that directly converts wind energy into electrical energy by using wind turbines. The operation status and safety of wind turbines are very important. The failu

Method used

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  • Fuzzy expert system-based fan safety chain fault analysis method and system
  • Fuzzy expert system-based fan safety chain fault analysis method and system
  • Fuzzy expert system-based fan safety chain fault analysis method and system

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Embodiment 1

[0032] refer to figure 1 , is the first embodiment of the present invention, this embodiment provides a kind of fan safety chain failure analysis method based on fuzzy expert system, comprising:

[0033] S1: Collect various operating data of the safe operation of the wind turbine. It should be noted that,

[0034] Use sensors, wind vanes and other detection devices to collect safety chain action speed, safety chain action power, power supply short circuit, vibration, emergency stop button and unit operation data when the control system fails.

[0035] S2: Use the fuzzy expert system to analyze the failure of the operation data. It should be noted that,

[0036] The fuzzy expert system includes collecting the historical fault problems of the safe operation of wind power generating units, and analyzing the fault problems based on the rich experience and knowledge of experts, establishing a fault problem expert database, and performing data analysis due to the traditional expert...

Embodiment 2

[0053] refer to figure 2 , is the second embodiment of the present invention, and what this embodiment is different from the first embodiment is that a kind of fan safety chain failure analysis system based on fuzzy expert system is provided, including: data acquisition module 100, fuzzy expert module 200 and the unit monitoring module 300.

[0054] Wherein: the data acquisition module 100 is used to collect various data of safe operation; the fuzzy expert module 200 is connected to the data acquisition module 100, carries out fault analysis to the data, and stores the collected data and analysis results for subsequent analysis; the unit monitoring module 300 is connected with the data acquisition module 100 and the fuzzy expert module 200, controls the action of the safety chain according to the fault analysis result of the fuzzy expert module 200, and displays the operating data, operating status and fault analysis results of each motor.

[0055] Further, the data collecti...

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Abstract

The invention discloses a fuzzy expert system-based fan safety chain fault analysis method and system. The method comprises the steps of collecting all operation data of safe operation of a wind driven generator; performing fault analysis on the operation data by using a fuzzy expert system; and if a the set has a fault in operation, performing emergency shutdown, and making the set offline. The fault analysis is performed on the safe operation data of the wind generating set by utilizing the fuzzy expert system to determine a fault occurrence type, and with the combination of historical data in a certain time period, the fault analysis accuracy is improved, and the fault maintenance time is shortened; and the system further has a data display function, so that a worker can conveniently check the operation state at any time.

Description

technical field [0001] The present invention relates to the technical field of fault analysis of wind power generators, in particular to a method and system for fault analysis of wind turbine safety chains based on a fuzzy expert system. Background technique [0002] Wind energy is the kinetic energy generated by the movement of large volumes of air over the Earth's surface. Due to the different temperature changes on the ground and the different water vapor content in the air after being irradiated by the sun, the air pressure in different places is different, and the high-pressure air flows to the low-pressure area in the horizontal direction, that is, the wind is formed. Wind energy resources are determined by the wind energy density and the annual cumulative hours of available wind energy. The World Meteorological Organization estimates that the global wind energy is about 2.74×109MW, of which the available wind energy is 2×107MW, which is 10 times larger than the total...

Claims

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Application Information

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IPC IPC(8): F03D17/00F03D7/00
CPCF03D17/00F03D7/00F05B2260/80F05B2270/707F05B2270/107Y02E10/72
Inventor 王云涛余泳滕斌王永锋蔡晓峰倪维东鲁胜邓华
Owner GUODIAN NANJING AUTOMATION
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