Bearing Fault Diagnosis Based on a Hybrid Classifier Ensemble Approach and the Improved Dempster-Shafer Theory.
Yanxue WangFang LiuAihua ZhuPublished in: Sensors (2019)
Keyphrases
- fault diagnosis
- dempster shafer theory
- monitoring and fault diagnosis
- combination rule
- expert systems
- belief functions
- fault detection
- fault detection and diagnosis
- neural network
- bp neural network
- fusion algorithm
- multi sensor information fusion
- information fusion
- dempster shafer evidence theory
- gas turbine
- rotating machinery
- electronic equipment
- fuzzy logic
- dempster shafer
- operating conditions
- analog circuits
- power transformers
- multiple faults
- condition monitoring
- power plant
- support vector
- fault identification
- evidence theory
- feature set
- support vector machine