- 教授
- 博士生导师
- 硕士生导师
- 电子邮箱：
- 入职时间：2007-03-14
- 学历：博士研究生毕业
- 性别：男
- 学位：博士
- 在职信息：在职
- 毕业院校：西安交通大学
- 所属院系：机械工程学院
- 学科：机械工程
Fault diagnosis approach based on Volterra models
- 发布时间：2025-04-30
- 论文名称：Fault diagnosis approach based on Volterra models
- 发表刊物：Mechanical Systems and Signal Processing
- 摘要：The fault diagnosis schemes are roughly divided into two major categories: signal analysis and modeling method. Compared with the signal analysis approaches, the availability of suitable models of machines could be exploited more conveniently, which allows a more precise and reliable fault identification. In this paper, a modeling fault diagnostic approach based on Volterra series for rotating machinery is presented. After a brief review of the Volterra series theory, the process of the new diagnostic approach and the identification method of Volterra kernels are introduced in detail. The computer simulation verifies its feasibility and validity. Then, this novel method based on Volterra modeling is employed for the fault diagnosis of a rotor-bearing system. Through investigating the changes of generalized frequency response functions of the system under different states, the faults are identified successfully. Finally, the laboratory experimental results verify its effectiveness.
- 合写作者：Hao Tang, Yuhe Liao, Junyi Cao, Hang Xie
- 卷号：Volume 24, Issue 4, May 2010
- 页面范围：Pages 1099-1113
- 是否译文：否
- 发表时间：2009-09-04
- 合写作者：Hao Tang, Yuhe Liao, Junyi Cao, Hang Xie