Feature Extraction Based on Hierarchical Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis.
Zhixiang ChenYang YangChangbo HeYongbin LiuXianzeng LiuZheng CaoPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- feature extraction
- neural network
- fault detection
- expert systems
- bp neural network
- operating conditions
- chemical process
- rotating machinery
- feature space
- power transformers
- condition monitoring
- multiple faults
- fault detection and diagnosis
- fuzzy logic
- electrical power systems
- rbf neural network
- industrial systems
- frequency domain
- feature vectors
- fault identification
- failure diagnosis
- gas turbine
- feature selection
- analog circuits
- image processing
- power plant
- fault detection and isolation
- soft computing methods
- electronic equipment
- artificial neural networks
- data mining