A Feature Extraction Method Using Improved Multi-Scale Entropy for Rolling Bearing Fault Diagnosis.
Bin JuHaijiao ZhangYongbin LiuFang LiuSiliang LuZhijia DaiPublished in: Entropy (2018)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- multiscale
- neural network
- expert systems
- fault detection
- gas turbine
- fault detection and diagnosis
- electronic equipment
- rbf neural network
- operating conditions
- rotating machinery
- fuzzy logic
- bp neural network
- feature vectors
- multiple faults
- fault identification
- wavelet transform
- chemical process
- analog circuits
- power transformers
- industrial systems
- image processing
- fault detection and isolation
- fault tree
- real time
- edge detection
- knowledge base
- probabilistic neural networks
- vibration signal
- condition monitoring
- bp algorithm
- artificial intelligence
- soft computing methods
- feature set
- feature selection