Wind turbine generator system fault diagnosis method and device based on gray correlation

Abstract

The invention discloses a wind turbine generator system fault diagnosis method and device based on gray correlation. The method comprises the following steps of supposing that m fault types exist, wherein each fault type can be represented by n fault character vectors; determining a character reference vector of each fault type, obtaining m*n dimensional character reference vector spaces of m fault types on the basis of all character reference vectors, and obtaining correlation coefficients of various character reference vectors in to-be-diagnosed vectors and character reference vector space according to a correlation coefficient calculation formula; obtaining total correlation degree of the to-be-diagnosed vectors to different faults of the m fault types by a correlation degree calculation formula, and performing normalized processing on the correlation degree to obtain a confidence value of the to-be-diagnosed vector in different faults; and performing Dempster combination rule fusion on multiple evidences according to a fusion formula to obtain the final diagnosis result. By adopting the method and the device provided by the invention, the confidence degree of the fault mode is greatly enhanced, thus the fault diagnosis can be carried out conveniently and effectively.

Description

technical field [0001] The present invention relates to a fault diagnosis method and device for a wind power generator set, in particular to a gray correlation-based fault diagnosis method and device for a wind power generator set. 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. Because of its relevance and complementarity, multi-source information often has a better practical effect than single-source information for diagnosis. However, due to the complexity of the environment, the limitations of sensors or observers, and the imperfection of information acquisition technology or methods, these information usually show uncertainty (Uncertain), unknown (Vague), imprecise (Imprecise) and imprecise. Features such as Incomplete can be collectively referred to as Imperfection. The specific desc...

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Problems solved by technology

[0003] 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. It has been proved to be an effective method. Extracting the basic confidence BPA (basic probability assignment) is a difficult point in fault diagnosis, and there is no specific method yet

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