On-line monitoring and fault diagnosis method of multi-working condition process for ultra-high-speed carton packaging machine in cigarette factory

Abstract

The invention relates to a statistical modeling, online monitoring and fault diagnosis technology of a superspeed carton packaging machine BV of the Italian G.D company and discloses a cigarette factory superspeed carton packaging machine multi-condition process online monitoring and fault diagnosis method. According to the method, a stable condition and a transition condition of stability factor identification are calculated based on a slide time window in an offline mode, the stable condition is divided to form a plurality of stable condition data clusters by use of an adaptive k-means cluster method, and then a statistical monitoring model is established independently for each stable condition data cluster by use of a PCA method. During online monitoring, a condition type is determined according to a stability factor of data in a current slide time window, under the stable condition, real-time monitoring is carried out by use of one PCA monitoring model corresponding to a cluster with a minimum distance, when any one statistical amount exceeds a limit, a major process variable causing a fault is determined by use of a contribution graph method, and finally, an effective feasible method is provided for online monitoring and fault diagnosis of the superspeed carton packaging machine BV.

Description

technical field [0001] The invention relates to statistical modeling, on-line monitoring and fault diagnosis technology of an ultra-high-speed carton packaging machine BV of Italian G.D company in the cigarette packaging process. Background technique [0002] With the globalization of the tobacco industry, new laws and regulations, and major changes in the external environment in recent years, China Tobacco is facing increasingly severe competitive pressure and social pressure. Under the premise of ensuring product quality, effectively improving the intelligence level and efficient operation of equipment has become the focus of cigarette factories. Intelligent, that is, production equipment has the functions of perception, analysis, reasoning and decision-making; efficient operation, that is, consume less resources to produce more and better products within a specified time. The intelligence level and high-efficiency operation capability of cigarette factory equipment are i...

AI Technical Summary

Problems solved by technology

The characteristic variables such as the mean value, variance, and correlation relationship of the data between different stable operating conditions will have obvious changes, and the direct application of the PCA method for statistical modeling and online monitoring will generate a large number of false alarms or missed alarms

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