Prism signal processing for machine condition monitoring II: Experimental data and fault detection.
Manus P. HenryVladimir V. SinitsinPublished in: ICPS (2018)
Keyphrases
- experimental data
- condition monitoring
- fault detection
- signal processing
- vibration signal
- fault diagnosis
- industrial processes
- acoustic emission
- fault identification
- fault detection and diagnosis
- failure detection
- nuclear power plant
- image processing
- power transformers
- pattern recognition
- dynamic model
- neural network
- tennessee eastman
- fuel cell
- fault localization
- mathematical models
- fuzzy logic
- tool wear
- power plant
- filter bank
- fault detection and isolation
- decision support system
- causal structure
- expert systems
- machine learning