Embedded autoencoder-based condition monitoring of rotating machinery.
Tibor KohlhebMichael SinapiusChristian PommerAlexander BoschmannPublished in: ETFA (2021)
Keyphrases
- condition monitoring
- rotating machinery
- fault detection
- fault diagnosis
- power transformers
- acoustic emission
- neural network
- embedded systems
- expert systems
- nuclear power plant
- fuzzy logic
- vibration signal
- operating conditions
- data mining
- cutting tool
- multiscale
- tool wear
- genetic algorithm
- artificial intelligence
- multiresolution