Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology.
Zhengkun XueYukun HuangWanyang ZhangJinchuan ShiHuageng LuoPublished in: Sensors (2023)
Keyphrases
- fault diagnosis
- feature selection
- feature extraction
- monitoring and fault diagnosis
- condition monitoring
- industrial systems
- fault detection
- expert systems
- feature set
- fault tree
- neural network
- fuzzy logic
- fault detection and diagnosis
- electronic equipment
- bp neural network
- multi sensor information fusion
- feature space
- operating conditions
- rbf neural network
- feature vectors
- knowledge based expert systems
- chemical process
- fault detection and isolation
- multiple faults
- gas turbine
- power transformers
- fault identification
- image processing
- vibration signal
- rotating machinery
- dempster shafer evidence theory
- decision making
- support vector
- analog circuits
- face recognition
- intelligent systems
- extracted features
- data fusion
- complex systems
- industrial applications