Deep Learning-Based Bearing Fault Diagnosis Using a Trusted Multiscale Quadratic Attention-Embedded Convolutional Neural Network.
Yuheng TangChaoyong ZhangJianzhao WuYang XieWeiming ShenJun WuPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- fault diagnosis
- deep learning
- convolutional neural network
- multiscale
- monitoring and fault diagnosis
- neural network
- unsupervised learning
- face detection
- expert systems
- fault detection and diagnosis
- fault detection
- fuzzy logic
- unsupervised feature learning
- machine learning
- gas turbine
- electronic equipment
- power transformers
- natural images
- multiple faults
- operating conditions
- chemical process
- weakly supervised
- rotating machinery
- condition monitoring
- wavelet transform
- image segmentation
- image processing
- mental models
- data mining
- analog circuits
- computer vision
- feature vectors
- higher order
- object detection
- image features
- support vector machine
- pairwise
- support vector
- reinforcement learning