Enhancing Fault Classification Accuracy of Ball Bearing Using Central Tendency Based Time Domain Features.
Muhammad Masood TahirAbdul Qayyum KhanNaeem IqbalAyyaz HussainSaeed BadshahPublished in: IEEE Access (2017)
Keyphrases
- classification accuracy
- feature set
- selected features
- feature extraction
- feature vectors
- feature selection
- terms of classification accuracy
- salient features
- feature subset
- expert systems
- feature space
- neural network
- machine learning
- data sets
- training set
- svm classification
- feature values
- multiple features
- genetic algorithm
- spatial information
- genetic algorithm ga
- fault diagnosis
- frequency domain
- naive bayes
- training data
- image features