Motion Sequence Decomposition-Based Hybrid Entropy Feature and Its Application to Fault Diagnosis of a High-Speed Automatic Mechanism.
Baoxiang WangHongxia PanHeng DuPublished in: Entropy (2017)
Keyphrases
- fault diagnosis
- high speed
- expert systems
- neural network
- fault detection
- electronic equipment
- bp neural network
- analog circuits
- power transformers
- rbf neural network
- fault detection and diagnosis
- chemical process
- fuzzy logic
- multiple faults
- gas turbine
- rotating machinery
- operating conditions
- condition monitoring
- low power
- industrial systems
- monitoring and fault diagnosis
- motion detection
- fault identification
- real time
- failure diagnosis
- feature selection
- data mining
- power plant
- intelligent systems
- feature set
- steam turbine
- fault diagnostic