Probabilistic Principal Component Analysis Assisted New Optimal Scale Morphological Top-Hat Filter for the Fault Diagnosis of Rolling Bearing.
Siyu ZhaoChangzheng ChenYuanqing LuoPublished in: IEEE Access (2020)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- expert systems
- neural network
- fault detection and diagnosis
- fuzzy logic
- fault detection
- power transformers
- operating conditions
- bp neural network
- morphological filters
- gas turbine
- probabilistic principal component analysis
- electronic equipment
- condition monitoring
- rotating machinery
- multi sensor information fusion
- fault identification
- noise reduction
- artificial intelligence
- fault detection and isolation
- multiple faults
- industrial systems