Data-driven quality monitoring and fault detection for multimode nonlinear processes.
Adel HaghaniSteven X. DingJonas EschHaiyang HaoPublished in: CDC (2012)
Keyphrases
- fault detection
- data driven
- industrial processes
- condition monitoring
- failure detection
- fault detection and diagnosis
- quality improvement
- fault diagnosis
- rotating machinery
- fuel cell
- fault identification
- fault detection and isolation
- tennessee eastman
- fault localization
- robust fault detection
- monitoring system
- real time
- quality assessment
- decision making
- neural network
- quality assurance
- power plant