A novel conditional weighting transfer Wasserstein auto-encoder for rolling bearing fault diagnosis with multi-source domains.
Ke ZhaoFeng JiaHaidong ShaoPublished in: Knowl. Based Syst. (2023)
Keyphrases
- monitoring and fault diagnosis
- multi source
- fault diagnosis
- data fusion
- information fusion
- neural network
- fault detection
- multiple sources
- expert systems
- operating conditions
- data integration
- bp neural network
- chemical process
- power transformers
- fuzzy logic
- electronic equipment
- fault detection and diagnosis
- real world
- gas turbine
- rotating machinery
- fault diagnostic
- information integration
- bit rate
- data sources
- analog circuits
- power plant
- multiple faults
- multi sensor information fusion
- condition monitoring
- real time
- intelligent systems
- artificial intelligence
- genetic algorithm
- machine learning