Cold continuous rolling production line service quality condition assessment method based on PCA-Cpk

Abstract

The invention discloses a cold continuous rolling production line service quality condition assessment method based on PCA-Cpk. Through the three steps of data preprocessing, T2 statistical indicator and T2 control limit calculation and service quality index calculation and system service quality condition assessment, a service quality index of a cold continuous rolling production line is provided, an accurate assessment for the cold continuous rolling production line service quality conditions can be made, the early-warning and the forecasting for system failures in real time are made, accidents are prevented, and the repair and the maintenance are guided.

Description

technical field [0001] The invention belongs to the field of service quality state monitoring and analysis of complex electromechanical systems, and in particular relates to a PCA-Cpk-based method for evaluating the service quality state of a cold tandem rolling production line. Background technique [0002] The tandem cold rolling mill is one of the equipment with the most complex control system, the highest degree of automation, and the strictest precision requirements in the metallurgical industry. It represents the level of technological development of the national iron and steel industry to a certain extent. The service quality status of the cold rolling production line directly affects the accuracy of the rolled panels. Not only that, but the inability to accurately know the service quality status of the production line will bring great safety risks. Therefore, it is very necessary to evaluate the service quality status of the production line . The tandem cold rolling...

AI Technical Summary

Problems solved by technology

Today's domestic tandem cold rolling production lines basically adopt a single-variable out-of-tolerance early warning method, directly setting control limits for parameters, and an alarm will be issued if the control line is exceeded. This early warning method is too one-sided and cannot reflect the operating status of the entire production line. Judging the service quality status of workers based on their experience

[0004] The principal component analysis (PCA) method is a multivariate statistical method, which is often used in the field of process monitoring. 2 Statistical indicators and variable contribution graphs are used to analyze equipment failures, but in actual production, the amount of data is large, and the results obtained by PCA are several charts, which must be re-analyzed by technicians to judge the operating status of the equipment

The process capability index (Cpk) indicates the degree of deviation between the process average and the target value, but in the field of service quality evaluation, it is difficult to set the target value

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