Machinery Fault Diagnosis Scheme Using Redefined Dimensionless Indicators and mRMR Feature Selection.
Qin HuXiao-Sheng SiAisong QinYunrong LvQing-Hua ZhangPublished in: IEEE Access (2020)
Keyphrases
- fault diagnosis
- feature selection
- expert systems
- neural network
- fault detection
- fault detection and diagnosis
- chemical process
- feature selection algorithms
- bp neural network
- fuzzy logic
- analog circuits
- condition monitoring
- electronic equipment
- gas turbine
- multiple faults
- rbf neural network
- failure diagnosis
- fault detection and isolation
- industrial systems
- fault identification
- rotating machinery
- power transformers
- feature space
- monitoring and fault diagnosis
- fault diagnostic
- operating conditions
- electrical power systems
- artificial intelligence
- minimum redundancy
- multi sensor information fusion
- machine learning
- support vector
- steam turbine
- tennessee eastman
- feature extraction
- data mining