Application for fault diagnosis of loopers based on evolutionary KPCA-LSSVM

@article{Shi2010ApplicationFF,
  title={Application for fault diagnosis of loopers based on evolutionary KPCA-LSSVM},
  author={Huaitao Shi and Jianchang Liu},
  journal={2010 8th World Congress on Intelligent Control and Automation},
  year={2010},
  pages={5861-5865}
}
In this paper, an evolutionary hybrid approach is studied for fault diagnosis and it is applied to classify the loopers faults in hot rolling process. The algorithm called evolutionary KPCA-LSSVM is the combination of genetic algorithm (GA), kernel principal component analysis (KPCA) and Least Squares Support Vector Machine (LSSVM), which can obtain better… CONTINUE READING