A Method of Multi-class Faults Classification based-on Mahalanobis-Taguchi System Using Vibration Signals
In this paper, an improved Mahalanobis-Taguchi system based fault diagnosis scheme is presented, vibration signals are used as the signal resource. MahalanobisTaguchi System is utilized for fault clustering method in order to classify faults into different categories, Lipschitz Exponents are used to extract characteristic vectors. Firstly, the procedure of implementing Mahalanobis-Taguchi System is introduced, a multi-class faults classification method is proposed based-on improved MTS. Secondly, the mathematical characterization of singularities with Lipschitz exponents is explained, and characteristic vector is obtained based-on Lipschitz exponents. Lastly, the method is validated by rotating machinery seeded-fault-test vibration signals, results showed that this method performed well.
Mahalanobis-Taguchi System Lipschitz Exponents Vibration Signals
Jiangtao Ren Yuanwen Cai Xiaochen Xing Jing Chen
Company of Postgraduate Management The Academy of Equipment Command & Technology Beijing, China Department of Testing and Command The Academy of Equipment Command & Technology Beijing, China Department of Mathematics College of Science in Guizhou University Guiyang, China
国际会议
贵阳
英文
1015-1020
2011-06-12（万方平台首次上网日期，不代表论文的发表时间）