Fault diagnosis and novel fault type detection for PEMFC system based on spherical-shaped multiple-class support vector machine.
Zhongliang LiStefan GiurgeaRachid OutbibDaniel HisselPublished in: AIM (2014)
Keyphrases
- fault diagnosis
- fault detection
- fuel cell
- support vector machine
- expert systems
- neural network
- multiple faults
- fuzzy logic
- fault tree
- power transformers
- operating conditions
- rbf neural network
- gas turbine
- condition monitoring
- multi sensor information fusion
- bp neural network
- analog circuits
- electronic equipment
- tennessee eastman
- monitoring and fault diagnosis
- feature vectors
- fault detection and diagnosis
- parameter optimization
- rotating machinery
- fault isolation
- machine learning
- chemical process
- power plant
- power system
- training set
- feature space
- artificial intelligence