An Adaptive Symmetric Loss in Dynamic Wide-Kernel ResNet for Rotating Machinery Fault Diagnosis Under Noisy Labels.
Guohao QinKai ZhangXuwei LaiQing ZhengGuofu DingMinghang ZhaoYuehong ZhangPublished in: IEEE Trans. Instrum. Meas. (2024)
Keyphrases
- rotating machinery
- fault diagnosis
- fault detection
- fault detection and isolation
- expert systems
- neural network
- operating conditions
- electronic equipment
- fault isolation
- fuzzy logic
- fault detection and diagnosis
- bp neural network
- monitoring and fault diagnosis
- condition monitoring
- multiple faults
- fault identification
- industrial systems
- gas turbine
- chemical process
- power transformers
- industrial processes
- kernel function
- feature space
- training data
- knowledge base
- soft computing methods
- tennessee eastman
- multi sensor information fusion
- power plant
- rbf neural network
- class labels
- support vector machine
- training set
- artificial intelligence