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Online Fault Diagnosis Method Based on Nonlinear Spectral Analysis
作者姓名:魏瑞轩  吴立勋  王永昌  韩崇昭
作者单位:School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049 Shaanxi,China Engineering Institute,Air Force Engineering University,Xi'an 710038 Shaanxi,China,Engineering Institute,Air Force Engineering University,Xi'an 710038 Shaanxi,China,School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049 Shaanxi,China,School of Electronics and Information Engineering,Xi'an Jiaotong University,Xi'an 710049 Shaanxi,China
摘    要:


Online Fault Diagnosis Method Based on Nonlinear Spectral Analysis
WEI Rui-xuan,WU Li-xun,WANG Yong-chang,HAN Chong-zhao.Online Fault Diagnosis Method Based on Nonlinear Spectral Analysis[J].Journal of China Ordnance,2005,1(2).
Authors:WEI Rui-xuan  WU Li-xun  WANG Yong-chang  HAN Chong-zhao
Affiliation:School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049 Shaanxi, China; Engineering Institute, Air Force Engineering University, Xi'an 710038 Shaanxi, China Engineering Institute, Air Force Engineering University, Xi'an 710038 Shaanxi, China School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049 Shaanxi, China School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049 Shaanxi, China
Abstract:The fault diagnosis based on nonlinear spectral analysis is a new technique for the nonlinear fault diagnosis, but its online application could be limited because of the enormous compution requirements for the estimation of general frequency response functions. Based on the fully decoupled Volterra identification algorithm, a new online fault diagnosis method based on nonlinear spectral analysis is presented, which can availably reduce the online compution requirements of general frequency response functions. The composition and working principle of the method are described, the test experiments have been done for damping spring of a vehicle suspension system by utilizing the new method, and the results indicate that the method is efficient.
Keywords:nonlinear system general frequency response functions fault diagnosis
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