Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests.
Xiaoming XueChaoshun LiSuqun CaoJinchao SunLiyan LiuPublished in: Entropy (2019)
Keyphrases
- fault diagnosis
- random forests
- monitoring and fault diagnosis
- condition monitoring
- random forest
- decision trees
- fault detection
- expert systems
- neural network
- ensemble methods
- machine learning algorithms
- logistic regression
- fuzzy logic
- operating conditions
- chemical process
- multiple faults
- fault detection and diagnosis
- bp neural network
- rotating machinery
- decision tree ensembles
- power transformers
- gas turbine
- electronic equipment
- vibration signal
- analog circuits
- multi sensor information fusion
- power plant
- training set
- similarity measure
- decision making
- learning algorithm