Rolling element bearing fault diagnosis based on multi-scale global fuzzy entropy, multiple class feature selection and support vector machine.
Keheng ZhuLiang ChenXiong HuPublished in: Trans. Inst. Meas. Control (2019)
Keyphrases
- fault diagnosis
- monitoring and fault diagnosis
- support vector machine
- feature selection
- fuzzy entropy
- multiscale
- multi class
- neural network
- chemical process
- expert systems
- fault detection
- fuzzy logic
- power transformers
- analog circuits
- bp neural network
- support vector
- rotating machinery
- electronic equipment
- multiple faults
- membership functions
- machine learning
- fault detection and diagnosis
- condition monitoring
- fuzzy sets
- gas turbine
- operating conditions
- knn
- fault identification
- support vector machine svm
- electrical power systems
- artificial neural networks
- feature space
- power plant
- data mining