Wind power generator fault diagnosis system and method

Abstract

The invention discloses a wind power generator fault diagnosis system comprising the following parts: a plurality of sensors used for acquiring a plurality of characteristic quantities of the wind power generator; a first processing unit used for receiving the plurality of characteristic quantities sent by the sensors, using the plurality of characteristic quantities as a fault classification condition attribute set, using a rough set theory to fuse the information, and building a fault diagnosis decision table; extracting fault diagnosis rules according to the fault diagnosis decision table;using the fault diagnosis rules to diagnose the wind power generator faults. The invention also discloses a wind power generator fault diagnosis method; the wind power generator fault diagnosis systemcan diagnose a plurality of fault factors, can extract the plurality of wind power generator characteristic quantities for analysis and diagnosis, thus spotting each fault factor of the wind power generator faults, solving relations between the fault factors, and finally obtaining the fault diagnosis result with a high accuracy.

Description

technical field [0001] The invention relates to a system and method for fault diagnosis, in particular to a generator fault diagnosis system and method. Background technique [0002] Since frequent failures of wind turbines will have a major impact on the operating efficiency and safety of power equipment, it is of great significance to quickly and timely find faults and diagnose the faults that occur for the operation of power equipment. [0003] At present, in the prior art, faults of wind power generators are diagnosed through temperature diagnosis, vibration analysis and diagnosis, and acoustic emission diagnosis. However, the above-mentioned diagnostic methods are all single diagnostic methods, that is to say, they rely on single information analysis to diagnose wind turbine faults, which can achieve a better diagnosis of a single fault factor and better processing when a single fault occurs However, when the fault occurs due to multiple fault factors, because the info...

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Problems solved by technology

However, the above-mentioned diagnostic methods are all single diagnostic methods, that is to say, they rely on single information analysis to diagnose wind turbine faults, which can achieve a better diagnosis of a single fault factor and better processing when a single fault occurs However, when the fault occurs due to multiple fault factors, because the information extracted by the above diagnosis method is too single, the accuracy of the diagnosis result is not high, and because the main information is loaded with irrelevant information, thus The internal connection of various factors causing wind turbine failure cannot be found

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