Affiliation:
1. Shenyang Agricultural University
2. Shenyang University
Abstract
Rolling bearing failures account for most of rotating machinery failures. Fault diagnosis of rolling bearings according to their running state is of great importance. In this paper current research situation and existing problems of fault diagnosis are summarized firstly. Then several different diagnosis approaches in terms of the measuring medium are reviewed. After analysis of fault mechanism, feature extraction based on non-stationary signal process is elaborated. Finally, the development tendencies are pointed out.
Publisher
Trans Tech Publications, Ltd.
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference19 articles.
1. Zhang Jun, Lu Senlin, He Weixing: Vibrating Diagnosis of Rolling Bearings Based on Backpropogation Neural Network. LIGHT INDUSTRAY MACHINERY. Forum Vol. 2(2007), pp.90-93.
2. Mei Hongbin. Ball bearing vibration monitoring and diagnosis (China Machine Press Beijing 1996).
3. O. GGustantsson,T. Tallian. Detection of Damage in Assembled Rolling Bearing. Transactions of the ASLE, Forum Vol. 5(1962), pp.197-209.
4. G.K. Singh, S.A. Saleh, and A.I. Kazzaz, Induction machine drive condition monitoring and diagnostic research-a survey . Electric Power Systems Reserch, Vol. 64(2003), p.145–158.
5. B. Maru, and P. A. Zotos, Anti-friction bearing temperature rise for NEMA frame motors . IEEE Transactions on Industry Applications, Vol. 25(1989), pp.883-888.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献