Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering.
Yanyan HuXiaoling XueZengwang JinKaixiang PengPublished in: J. Control. Sci. Eng. (2018)
Keyphrases
- fault diagnosis
- multi sensor
- target tracking
- expert systems
- neural network
- data fusion
- fault detection
- infrared
- fuzzy logic
- chemical process
- fault detection and diagnosis
- electrical power systems
- analog circuits
- sensor fusion
- power plant
- bp neural network
- real time
- visual tracking
- power transformers
- gas turbine
- intelligent systems
- multiple faults
- condition monitoring
- control system
- complex systems
- tennessee eastman
- multi sensor information fusion
- rotating machinery
- electronic equipment
- monitoring and fault diagnosis
- fusion algorithm
- operating conditions
- data association
- low level
- pattern recognition
- artificial intelligence