IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions.
Sheng LiJinchen JiYadong XuXiuquan SunKe FengBeibei SunYulin WangFengshou GuKe ZhangQing NiPublished in: Reliab. Eng. Syst. Saf. (2023)
Keyphrases
- fault diagnosis
- denoising
- monitoring and fault diagnosis
- condition monitoring
- operating conditions
- industrial systems
- vibration signal
- fault detection
- neural network
- expert systems
- fuzzy logic
- image denoising
- image processing
- fault detection and diagnosis
- rbf neural network
- power transformers
- chemical process
- gas turbine
- rotating machinery
- bp neural network
- fault identification
- electronic equipment
- natural images
- fault detection and isolation
- analog circuits
- multi sensor information fusion
- failure diagnosis
- network structure
- telecommunication networks
- multiple faults
- noise removal
- radial basis function
- mathematical model
- electrical power systems
- tennessee eastman
- complex systems
- multiscale