ICA_MPCA Method For Process Monitoring And Fault Diagnosis

In process industry,the effective process monitoring is the key to ensure safety.The object of process monitoring is to ensure safety and provide products with consistent quality, through monitoring the state of the production process,detecting the fault promptly.Traditional methods include model and knowledge.It is difficult to achieve the exact mathematical model,which limits the application of them.With the rapid development of the computer technology,a great amount of process data can be sampled and collected.How to fully utilize this information to improve the performance of the process monitoring has been gradually becoming one of the focuses in the field of process control.Therefore,the process monitoring based on data-driven method comes out.Traditional data-driven methods are principal component analysis(PCA) and multi-way PCA methods.The effects of these methods are limited by the specific distribution data and they depend on the pre-estimated data.In view of these constraints,the new ICA_MPCA method,which is based on independent component analysis(ICA) theory and step-by-step MPCA theory,is established in this thesis.The ICA_MPCA method combines the advantages of ICA theory and step-by-step MPCA theory.The ICA theory transforms the observed variables to the independent components,which overcomes the specific distribution restriction.The step-by-step MPCA algorithm can avoid the wrong alarm through establishing a series of PCA to avoid pre-estimating the unknown part of the process variable trajectory deviation.The main research questions are as follows:First of all,a current situation overview of the process monitoring and fault diagnosis is introduced.The traditional methods of the process monitoring and malfunction diagnosing are also proposed in detail.Secondly,the relevant theories of ICA and MPCA are presented in detail.Thirdly,the ICA_MPCA method of the process monitoring and fault diagnosis is introduced.The new method includes ICA theory and step-by-step MPCA theory.Finally,a kind of specific industrial process monitoring and fault diagnosis step is proposed in this thesis.The method is evaluated on the industrial process.The results show the feasibility and superiority of the new method.