RMINE: A Rough Set Based Data Mining Prototype for the Reasoning of Incomplete Data in Condition-based Fault Diagnosis.
Jing-Rong LiLi Pheng KhooShu Beng TorPublished in: J. Intell. Manuf. (2006)
Keyphrases
- fault diagnosis
- incomplete data
- data mining
- rough sets
- learning bayesian networks
- missing data
- expert systems
- bayesian networks
- missing values
- neural network
- fault detection
- chemical process
- fault detection and diagnosis
- em algorithm
- incomplete data sets
- fuzzy logic
- bp neural network
- electronic equipment
- monitoring and fault diagnosis
- operating conditions
- gas turbine
- data mining algorithms
- rough set theory
- knowledge discovery
- power transformers
- analog circuits
- multi sensor information fusion
- data analysis
- knowledge base
- multiple faults
- rotating machinery
- data mining techniques
- association rules
- decision making
- fault diagnostic
- power plant
- real time
- soft computing