Online Fault Diagnosis Method Based on Nonlinear Spectral Analysis

被引：0
|
作者：
魏瑞轩
机构：
[1] Air Force Engineering University
[2] China Engineering Institute
[3] Xi’an 710038 Shaanxi
[4] School of Electronics and Information Engineering
[5] Xi’an Jiaotong University
[6] China
[7] Xi’an 710049 Shaanxi
来源：
Journal of China Ordnance | 2005年 / 02期
关键词：
nonlinear system; general frequency response functions; fault diagnosis;
D O I：
暂无
中图分类号：
O657.3 [光化学分析法（光谱分析法）];
学科分类号：
摘要：
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.
引用
收藏
页码：207 / 212
页数：6
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