Research on the influence of manufacturing data on the quality of complex equipment

Jun Wang; Yang Bai; Yuhao Wang; Tong Zhang

doi:10.1117/12.2641070

2 December 2022 Research on the influence of manufacturing data on the quality of complex equipment

Jun Wang, Yang Bai, Yuhao Wang, Tong Zhang

Proceedings Volume 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022); 1228823 (2022) https://doi.org/10.1117/12.2641070
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 2022, Zhuhai, China

Abstract

A relationship model between manufacturing data and complex equipment quality is studied and constructed. Combined with the data formed in each link of the whole life cycle of complex equipment, this paper studies and reveals the impact of manufacturing data on the quality of complex equipment. Based on the regulated intermediary theory model, the basic model of the regulation and intermediary relationship between product data richness, product quality inspection standard severity, product manufacturing risk and product quality is studied and established, and the action mechanism of product data richness on the quality of complex equipment is revealed, Through the case study, it is proved that the product manufacturing risk plays an intermediary role in the formation mechanism of the relationship between product data richness and product quality, and the severity of product quality inspection standards plays a regulatory role in the relationship between product data richness and product manufacturing risk, which provides a data-driven theoretical method for the quality control of complex equipment.

Citation Download Citation

Jun Wang, Yang Bai, Yuhao Wang, and Tong Zhang "Research on the influence of manufacturing data on the quality of complex equipment", Proc. SPIE 12288, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2022), 1228823 (2 December 2022); https://doi.org/10.1117/12.2641070

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KEYWORDS

Data modeling

Manufacturing

Instrument modeling

Inspection

Inspection equipment

Statistical modeling

Control systems

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