A novel fault diagnosis approach combining SVM with association rule mining for ship diesel engine.
Chengtao CaiChuanbin ZhangGang LiuPublished in: ICIA (2016)
Keyphrases
- fault diagnosis
- association rule mining
- diesel engine
- association rules
- support vector machine svm
- neural network
- support vector
- fault detection
- expert systems
- data mining techniques
- itemsets
- data mining
- bp neural network
- rbf neural network
- knowledge discovery
- support vector machine
- fuzzy logic
- frequent itemsets
- chemical process
- operating conditions
- monitoring and fault diagnosis
- knn
- multi sensor information fusion
- real world
- kernel function
- machine learning
- concept lattice
- high temperature
- database
- artificial intelligence
- high pressure
- positive and negative association rules
- training data
- feature selection