Method and device for fault diagnosis of wind generating set based on evidence entropy
A technology of wind turbine generator and fault diagnosis device, which is applied in the field of wind turbine generator fault diagnosis and device based on evidence entropy
Inactive Publication Date: 2013-09-04
SHANGHAI DIANJI UNIV
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However, the evidence theory requires the elements of its identification framework to be independent and mutually exclusive, but they often contain large conflicts. How to achieve effective fusion of multi-source information in the case of high evidence conflicts is an urgent problem to be solved
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[0044] The implementation of the present invention is described below through specific examples and in conjunction with the accompanying drawings, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific examples, and various modifications and changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention.
[0045] Before introducing the present invention, the concepts involved in the present invention, theory and Dempster combination rules are briefly introduced:
[0046] Let Θ = {θ 1 , θ 2 ,...θ n} is an identification framework (discourse domain), in fault diagnosis, Θ is a limited set of single fault modes, where θ i represents the i-th failure mode.
[0047] Let (Ω, F, P) be a probabil...
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The invention discloses a method and device for fault diagnosis of a wind generating set based on evidence entropy. The method comprises the following steps: obtaining a basic probability function value of each evidence for each fault mode, calculating and obtaining a weight of each evidence through the evidence entropy and a weight calculation formula according to the basic probability function value of each evidence for each fault mode, conducting weighted mean on the basic probability function value of each evidence through each obtained weight, obtaining a basic probability function value of an average evidence, calculating the overall degree of deviation of an ith evidence and the average evidence, regulating original evidences by the adoption of the obtained overall degree of deviation, fusing the regulated evidences through a fusion formula, and obtaining a final diagnosis result. The method and device reduces conflicting factors of the evidences to a certain extent, and makes the diagnosis result more accurate.
Description
technical field [0001] The present invention relates to a fault diagnosis method and device for a wind power generating set, in particular to a fault diagnosis method and device for a wind generating set based on evidence entropy. Background technique [0002] With the small increase in the installed capacity of wind turbines, its proportion in the grid is also increasing year by year, so it is also very important to diagnose faults before they cause accidents. The information fusion method based on evidence theory has been widely used in the field of fault diagnosis because of its advantages in the representation, measurement and combination of uncertain information, and it has been proved to be an effective method. However, the evidence theory requires that the elements of its identification framework be independent and mutually exclusive, but they often contain large conflicts. How to achieve effective fusion of multi-source information in the case of high evidence confli...
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IPC IPC(8): G01R31/34
Inventor 金建陈国初陈勤勤公维祥
Owner SHANGHAI DIANJI UNIV