A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis.
Muhammad IrfanZohaib MushtaqNabeel Ahmed KhanSalim Nasar Faraj MursalSaifur RahmanMuawia Abdelkafi MagzoubMuhammad Armghan LatifFaisal AlThobianiImran Khan YousufzaiGhulam AbbasPublished in: IEEE Access (2023)
Keyphrases
- fault diagnosis
- ensemble methods
- monitoring and fault diagnosis
- class imbalance
- prediction accuracy
- expert systems
- benchmark datasets
- ensemble learning
- decision trees
- neural network
- fault detection
- machine learning methods
- fault detection and diagnosis
- minority class
- random forest
- electronic equipment
- base learners
- base classifiers
- fuzzy logic
- operating conditions
- bp neural network
- chemical process
- multiple faults
- power transformers
- class distribution
- gas turbine
- multi sensor information fusion
- analog circuits
- ensemble classifier
- soft computing
- naive bayes