A real-time mechanical fault diagnosis approach based on lightweight architecture search considering industrial edge deployments.
Sihan MaHongchun SunSheng GaoGuixing ZhouPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- lightweight
- fault diagnosis
- real time
- fault diagnostic
- industrial systems
- gas turbine
- chemical process
- expert systems
- fault detection
- fuzzy logic
- industrial applications
- bp neural network
- fault detection and diagnosis
- monitoring and fault diagnosis
- communication infrastructure
- operating conditions
- electronic equipment
- neural network
- smart camera
- multiple faults
- analog circuits
- power transformers
- rotating machinery
- edge detection
- low cost
- control system
- tennessee eastman
- electrical power systems
- fault detection and isolation
- power plant
- failure diagnosis
- fault identification
- wireless sensor networks
- development environments
- industrial processes
- multi sensor information fusion
- computational intelligence
- quality of service
- neural network model
- soft computing
- multiscale