Fault diagnosis of slurry pH data base on autoregressive integrated moving average and least squares support vector machines.
Zongliang QiaoJianxin ZhouFengqi SiZhigao XuLei ZhangPublished in: ICNC (2013)
Keyphrases
- fault diagnosis
- least squares support vector machine
- autoregressive integrated moving average
- ls svm
- exponential smoothing
- arima model
- rbf neural network
- bp neural network
- expert systems
- neural network
- prediction model
- fuzzy logic
- operating conditions
- short term
- improved algorithm
- power plant
- least squares
- long term
- pattern recognition
- correlation coefficient
- cross validation
- generalization ability
- variable selection
- genetic algorithm
- rough sets