Rolling element bearing fault detection in industrial environments based on a K-means clustering approach.
C. T. YiakopoulosKonstantinos C. GrylliasIoannis A. AntoniadisPublished in: Expert Syst. Appl. (2011)
Keyphrases
- fault detection
- industrial processes
- fault diagnosis
- monitoring and fault diagnosis
- gas turbine
- fault identification
- condition monitoring
- fuel cell
- fault detection and diagnosis
- fault detection and isolation
- failure detection
- tennessee eastman
- neural network
- fault isolation
- fault localization
- clustering algorithm
- vibration signal
- operating conditions
- power plant
- chemical process
- robust fault detection
- quality improvement
- mathematical model
- rough sets
- fuzzy logic
- knowledge discovery
- data sources
- k means
- expert systems