Application case study of machine learning techniques towards a fault diagnosis system for a manufacturing plant environment.
G. Subrahmanya V. R. K. RaoVivek DiwanjiJinka ParthasarathiPublished in: ICUIMC (2012)
Keyphrases
- fault diagnosis
- case study
- chemical process
- electrical power systems
- steam turbine
- power plant
- soft computing methods
- rotating machinery
- expert systems
- neural network
- machine learning
- fault detection
- operating conditions
- power transformers
- gas turbine
- analog circuits
- bp neural network
- fuzzy logic
- industrial systems
- power system
- electronic equipment
- monitoring and fault diagnosis
- real time
- fault detection and diagnosis
- failure diagnosis
- multiple faults
- fault identification
- software development
- control system
- multi sensor information fusion