An improved fault diagnosis approach based on support vector machine.
Qi ZhaoBingqian WangGan ZhouWenfeng ZhangXiuMei GuanWenquan FengPublished in: ICPHM (2016)
Keyphrases
- fault diagnosis
- support vector machine
- fault detection
- neural network
- expert systems
- fuzzy logic
- fault detection and diagnosis
- bp neural network
- condition monitoring
- failure diagnosis
- chemical process
- rotating machinery
- operating conditions
- rbf neural network
- support vector machine svm
- fault identification
- industrial systems
- support vector
- feature vectors
- feature selection
- multiple faults
- gas turbine
- electronic equipment
- monitoring and fault diagnosis
- training data
- kernel function
- analog circuits
- radial basis function
- electrical power systems
- soft computing methods
- support vector regression
- artificial neural networks
- training set
- artificial intelligence
- genetic algorithm
- real time
- intelligent systems
- markov chain
- feature space
- learning algorithm
- tennessee eastman
- machine learning
- multi sensor information fusion