Fault Detection in Continuous Industrial Chemical Processes: A New Approach Using the Hidden Markov Modeling. Case Study: A Boiler from a Brazilian Cellulose Pulp Mill.
Gustavo Matheus de AlmeidaSong Won ParkPublished in: IDEAL (2012)
Keyphrases
- fault detection
- industrial processes
- power plant
- case study
- fault diagnosis
- gas turbine
- fault identification
- tennessee eastman
- fault detection and isolation
- fault localization
- fault detection and diagnosis
- condition monitoring
- robust fault detection
- rotating machinery
- failure detection
- soft computing
- real world
- fuel cell
- software development
- decision support system
- quality improvement
- neural network
- historical data
- expert systems
- rough sets
- fault isolation
- fuzzy logic
- fuzzy sets
- monitoring system
- machine learning
- constraint satisfaction
- continuous domains