Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions.
Jun ZhuNan ChenChangqing ShenDong WangPublished in: INDIN (2020)
Keyphrases
- fault diagnosis
- multi source
- operating conditions
- information fusion
- data fusion
- fault detection
- expert systems
- neural network
- electronic equipment
- fuzzy logic
- fault detection and diagnosis
- chemical process
- bp neural network
- multiple sources
- data integration
- monitoring and fault diagnosis
- multiple faults
- gas turbine
- analog circuits
- condition monitoring
- information integration
- electrical power systems
- fault identification
- rotating machinery
- data sources
- databases
- power plant
- community detection
- data mining
- clustering algorithm
- tennessee eastman
- fault diagnostic