Data-Driven Fault Diagnostics for Industrial Processes: An Application to Penicillin Fermentation Process.
Muhammad Asim AbbasiAbdul Qayyum KhanGhulam MustafaMuhammad AbidAadil Sarwar KhanNasim UllahPublished in: IEEE Access (2021)
Keyphrases
- industrial processes
- data driven
- fault detection
- fermentation process
- condition monitoring
- fault detection and isolation
- industrial process
- power plant
- fault diagnosis
- neural network
- artificial neural networks
- expert systems
- welding process
- fault detection and diagnosis
- decision making
- quality improvement
- control system
- knowledge base
- artificial intelligence
- data mining