A robust fault-detection approach with application in a rolling-mill process
- Resource Type
- Periodical
- Authors
- Da-Wei Gu; Fu Wah Poon
- Source
- IEEE Transactions on Control Systems Technology IEEE Trans. Contr. Syst. Technol. Control Systems Technology, IEEE Transactions on. 11(3):408-414 May, 2003
- Subject
- Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Fault detection
Hardware
Redundancy
Milling machines
Actuators
Costs
Signal generators
Noise robustness
Degradation
System performance
- Language
- ISSN
- 1063-6536
1558-0865
2374-0159
This paper proposes a new approach to robust fault detection. The proposed scheme adopts an observer-based fault-detection scheme and is characterized by a structure of two observers. One observer estimates the plant output driven by the plant normal input. The other observer estimates the output driven by the fault. To demonstrate the proposed fault-detection scheme, a rolling mill case study is considered. This task involves the development of models for the most common occurring faults on a rolling mill - the top back-up roll eccentricity, and construction of two observers. Simulation results illustrate the applicability of the fault-detection scheme to the rolling mill example.