期刊
IEEE-ASME TRANSACTIONS ON MECHATRONICS
卷 20, 期 5, 页码 2613-2620出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMECH.2014.2358674
关键词
Fault diagnosis; fault lines; fuzzy positivistic C-means clustering (FPCM); suspension system
类别
资金
- State Key Laboratory of Robotics and System (HIT) [SKLRS-2014-MS-01]
- National Natural Science Foundation of China [61304102, 61472104]
- China Postdoctoral Science Foundation [2014T70339]
This paper focuses on fault detection and isolation for vehicle suspension systems. The proposed method is divided into three steps: 1) confirming the number of clusters based on principal component analysis; 2) detecting faults by fuzzy positivistic C-means clustering and fault lines; and 3) isolating the root causes for faults by utilizing the Fisher discriminant analysis technique. Different from other schemes, this method only needs measurements of accelerometers that are fixed on the four corners of a vehicle suspension. Besides, different spring attenuation coefficients are regarded as a special failure instead of several ones. A full vehicle benchmark is applied to demonstrate the effectiveness of the method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据