This article presents a model-based fault diagnosis method to detect and isolate faults in the robot arm control system. The proposed algorithm is composed functionally of three main parts: parameter estimation, fault detection, and isolation. When a change in the system occurs, the errors between t
β¦ LIBER β¦
Fault Detection and Isolation of Induction Motors Using Recurrent Neural Networks and Dynamic Bayesian Modeling
β Scribed by Cho, Hyun Cheol; Knowles, Jeremy; Fadali, M. Sami; Lee, Kwon Soon
- Book ID
- 120517428
- Publisher
- IEEE
- Year
- 2010
- Tongue
- English
- Weight
- 460 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1063-6536
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