Fault separation technique for chemical production abnormal sub-domain

Abstract

The invention relates to a technical method for separating abnormal subdomain fault in chemical production, which is a novel fault separating method and is realized by using statistical analysis theory. The method comprises the following steps: extracting a principal element from data information acquired by a process; classifying data into information related with the principal element and information in weak relation with the principal element according to the correlation of a variable and the principal element; establishing a statistical process control limit for diagnosis of the fault respectively according to the two classes of data; determining a domain of normal data as a normal subdomain and a domain of abnormal data as an abnormal subdomain; and iterating the processes in the abnormal subdomain until the fault is converged to be separated. The method classifies the process data according to the correlation of the process data and a principal element array, can reflect characteristics and presentation of the fault information better, and improve relative accuracy and reliability of fault separation by statistical analysis. The method has the advantages of advanced technique, theoretical principle existence, and strong actual application and operability.

Description

technical field [0001] The invention relates to the monitoring and fault diagnosis of the chemical production technology process, in particular to a fault detection and separation technology method based on the on-site sampling data of the process control system. Background technique [0002] Fault separation is the key to fault diagnosis technology. After a system fault is detected, how to deal with it and restore the system to a normal working state is an important factor for the success of fault diagnosis. Model-based fault isolation can usually give the root cause of the fault, pointing out the location, size and trend of the fault. However, the fault isolation technology based on statistical analysis can only give the scope of the fault, the possible variable or the equipment related to this variable, but cannot determine the clear cause of the fault. This brings many problems to the fault diagnosis. After the fault is detected, the fault cannot be separated, and the d...

AI Technical Summary

Problems solved by technology

However, the fault isolation technology based on statistical analysis can only give the scope of the fault, possible variables or equipment related to this variable, but cannot determine the clear cause of the fault.

This brings many problems to fault diagnosis. After the fault is detected, the fault cannot be separated, and the detection will lose its meaning.

Therefore, in recent years, there have been many research results on fault isolation based on statistical methods, but the real solution to the problem of fault isolation based on statistical models still needs further research.

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