SVM-based Fault Diagnosis for Chemical Process

The technique of the support vector machines, which are based on the statistical learning theory, is introduced into the fault diagnosis for non-linear chemical process. A series of experimental (results) of the CSTR model show that SVM has a better diagnosis performance than those traditional chemical process fault detection and diagnosis methods such as BPNN, wavelet-net.