A machine-learning-based fault diagnosis approach for intelligent condition monitoring.
Chih-Chung WangChien-Wei LeeChen-Sen OuyangPublished in: ICMLC (2010)
Keyphrases
- condition monitoring
- fault diagnosis
- machine learning
- fault detection
- industrial systems
- power transformers
- neural network
- expert systems
- fault detection and diagnosis
- acoustic emission
- fuzzy logic
- gas turbine
- operating conditions
- learning algorithm
- intelligent systems
- fault identification
- failure diagnosis
- bp neural network
- analog circuits
- monitoring and fault diagnosis
- artificial intelligence
- multiple faults
- rotating machinery
- chemical process
- computational intelligence
- tool wear
- knowledge based expert systems
- data mining
- fault detection and isolation
- reliability analysis
- vibration signal
- electronic equipment
- image enhancement
- electrical power systems
- multiscale
- multi sensor information fusion