Fault diagnosis of high-speed railway turnout based on support vector machine.
Fenfang ZhouLi XiaWei DongXinya SunXiang YanQianchuan ZhaoPublished in: ICIT (2016)
Keyphrases
- fault diagnosis
- high speed railway
- support vector machine
- modeling method
- key technologies
- expert systems
- fault detection
- virtual reality
- neural network
- power transformers
- support vector machine svm
- electronic equipment
- fault detection and diagnosis
- fuzzy logic
- machine learning
- chemical process
- condition monitoring
- particle swarm
- operating conditions
- support vector
- rbf neural network
- analog circuits
- bp neural network
- multiple faults
- rotating machinery
- radial basis function
- monitoring and fault diagnosis
- puts forward
- gas turbine
- real time
- genetic algorithm
- image processing
- data fusion
- training set
- multi sensor information fusion