A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
Rafia Nishat TomaFarzin PiltanKichang ImDongkoo ShonTae Hyun YoonDae-Seung YooJong-Myon KimPublished in: Sensors (2022)
Keyphrases
- operating conditions
- convolutional neural network
- image classification
- fault diagnosis
- input image
- classification accuracy
- steady state
- measured data
- support vector machine
- feature set
- decision trees
- real time
- machine learning methods
- text classification
- machine learning
- transmission line
- artificial intelligence
- test set
- active learning
- feature extraction