Application of Mutual Information-Sample Entropy Based MED-ICEEMDAN De-Noising Scheme for Weak Fault Diagnosis of Hoist Bearing.
Fen YangZi-ming KouJuan WuTengyu LiPublished in: Entropy (2018)
Keyphrases
- fault diagnosis
- mutual information
- monitoring and fault diagnosis
- soft computing methods
- neural network
- denoising
- steam turbine
- fault detection
- multiple faults
- information theoretic
- electrical power systems
- rbf neural network
- analog circuits
- failure diagnosis
- industrial systems
- electronic equipment
- operating conditions
- bp neural network
- fuzzy logic
- similarity measure
- feature selection
- rotating machinery
- multi sensor information fusion
- soft computing
- chemical process
- gas turbine
- fault detection and diagnosis
- power transformers
- condition monitoring
- multiresolution
- expert systems
- decision making