Application of Improved ANFIS in Chemical Process Fault Diagnosis

This paper mainly focuses on the complicated chemical process and proposes an improved method,which integrates artificial neural networks and principal component analysis into the adaptive neural fuzzy inference system(ANFIS).Then,ANFIS and improved ANFIS are applied in fault diagnosis of the TE model.Finally we conclude that both methods are very accurate,but the improved ANFIS has(advantages) with shorter time and clearer results.So it is more suitable for the industry.