Title of Paper:
Fault diagnosis of complex system based on nonlinear frequency spectrum fusion
Summary:
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.
Co-author:
Cao Jianfu, Chen ling, Zhang Jialiang, Cao Wen
Papers
