Polymerization reactor fault diagnosis method based on combination of DKPCA (dynamic kernel principal component analysis) and FDA (Fisher's discriminant analysis)

Abstract

The present invention provides a polymerization reactor fault diagnosis method based on combination of DKPCA (dynamic kernel principal component analysis) and FDA (Fisher's discriminant analysis), and relates to a polymerization reactor fault diagnosis method. The method aims at features in a polyvinyl chloride (PVC) polymerization production process that the number of fault types is relatively large, the types are complex, and so on, and provides a polymerization reactor fault diagnosis method based on combination of DKPCA and FDA. Fault diagnosis is performed on a PVC polymerization process by using the kernel principal component analysis and the dynamic kernel principal component analysis algorithm separately, and meanwhile, further separation of the fault data is performed by using an FDA method. A simulation research result shows that the kernel principal component analysis has the relatively good fault diagnosis accuracy on the PVC polymerization process, and the FDA can further realize fault separation, so that faults can be monitored in an actual PVC polymerization production process.

Description

technical field [0001] The invention relates to a method for diagnosing a failure of a polymerization kettle, in particular to a method for diagnosing a failure of a polymerization process of a polymerization kettle integrated with DKPCA-FDA. Background technique [0002] Polyvinyl chloride resin (PVC) is an important organic synthetic material and a chemical product with multiple uses. Its products have good physical and chemical properties and are widely used in industry, construction, agriculture, electric power, public utilities and other fields . As a chemical product, PVC resin has a complex mechanism of faults in the production process, and there are serious dynamics and nonlinearities in the production process. large accident. Contents of the invention [0003] The purpose of the present invention is to provide an intelligent fault diagnosis method for the polymerization process of the polymerization kettle. The method adopts the method of combining DKPCA and FDA...

AI Technical Summary

Problems solved by technology

As a chemical product, PVC resin has a complex mechanism of faults in the production process, and there are serious dynamics and nonlinearities in the production process. large accident