Application of combined support vector machines in process fault diagnosis

  title={Application of combined support vector machines in process fault diagnosis},
  author={Esmaeil Tafazzoli and M. Saif},
  journal={2009 American Control Conference},
The performance of Combined Support Vector Machines, C-SVM, is examined by comparing it's classification results with k-nearest neighbor and simple SVM classifier. For our experiments we use training and testing data obtained from two benchmark industrial processes. The first set is simulated data generated from Tennessee Eastman process simulator and the second set is the data obtained by running experiment on a Three Tank system. Our results show that the C-SVM classifier gives the lowest… CONTINUE READING
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