Fault diagnosis of complex system based on nonlinear frequency spectrum fusion
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发布时间：2025-04-30
发布时间：2025-04-30
论文名称：Fault diagnosis of complex system based on nonlinear frequency spectrum fusion
发表刊物：Measurement
摘要：A novel fault detection and diagnosis approach is proposed for nonlinear complex systems
by combining nonlinear frequency spectrum characteristics and evidence theory. In order
to overcome the problem of calculated amount expansion of generalized frequency
response functions, single-dimensional nonlinear output frequency response functions
are used to obtain nonlinear frequency spectrum, from which, features of nonlinear frequency
spectrum are extracted. The fault diagnosis model of multiple faults is given based
on evidence theory. The mass functions of evidences are obtained according to the similarity
among different modes. In order to solve the problem of evidence fusion in the situation
of evidence confliction, a dynamic parameter conflicting evidence combination method is
proposed based on the average credibility. Fault diagnosis of the transmission system of
numerical control machine tool is studied through nonlinear frequency spectrum. Simulations
indicate that the proposed approach has simple calculation and high recognition rate
for faults.
合写作者：Cao Jianfu, Chen ling, Zhang Jialiang, Cao Wen
卷号：46(1)
页面范围：125-131
是否译文：否
发表时间：2013-01-15