Split torque type gearbox fault detection using acoustic emission and vibration sensors.
David HeRuoyu LiEric BechhoeferPublished in: ICNSC (2010)
Keyphrases
- condition monitoring
- fault detection
- vibration signal
- acoustic emission
- fault diagnosis
- fault identification
- industrial processes
- fault detection and diagnosis
- expert systems
- neural network
- fuzzy logic
- tennessee eastman
- fault localization
- data fusion
- real time
- fuel cell
- robust fault detection
- denoising
- artificial intelligence
- focus of attention
- operating conditions
- evolutionary computation
- constraint satisfaction
- pattern recognition