Fault diagnosis for internal combustion engines using intake manifold pressure and artificial neural network.
Jian-Da WuCheng-Kai HuangYo-Wei ChangYao-Jung ShiaoPublished in: Expert Syst. Appl. (2010)
Keyphrases
- fault diagnosis
- artificial neural networks
- coal fired
- neural network
- power plant
- bp neural network
- expert systems
- fault detection
- operating conditions
- power transformers
- fault detection and diagnosis
- fuzzy logic
- industrial systems
- back propagation
- bp algorithm
- rbf neural network
- high pressure
- fuel injection
- fault diagnostic
- multi sensor information fusion
- analog circuits
- electronic equipment
- condition monitoring
- genetic algorithm
- electrical power systems
- failure diagnosis
- chemical process
- multiple faults
- fault detection and isolation
- fault identification
- neural network model
- gas turbine
- soft computing
- monitoring and fault diagnosis
- decision support system
- multilayer perceptron
- soft computing methods
- rotating machinery
- fault tree
- data fusion