Health status assessment of CNC milling and boring machining unit based on cloud model

As the key equipment of the modern manufacturing industry, the health status of CNC horizontal double-sided milling and boring machining units directly affects the production efficiency and product quality. In this paper, a health status assessment method of CNC horizontal double-sided milling and boring machining unit based on the G1 method and cloud model is proposed. Firstly, an evaluation index system encompassing mechanical performance, electrical systems, and functional efficiency is constructed, and the weight of each evaluation index is determined by the G1 method. Then, the cloud model is used to comprehensively evaluate the health status of the device, calculate the membership degree of each indicator under different health levels, and draw the comprehensive cloud model to obtain the comprehensive health status of the device. Finally, targeted maintenance recommendations are provided based on the assessment results to ensure stable equipment operation and enhance production efficiency.

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Published
2025-06-06
DOI
https://doi.org/10.1145/3760269.3760316
Primary Topic
Advanced Decision-Making Techniques
Type
article
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article

Health status assessment of CNC milling and boring machining unit based on cloud model

Changji Li, Young-Ghyu Sun
Advanced Decision-Making Techniques
article

Health status assessment of CNC milling and boring machining unit based on cloud model

Changji Li, Young-Ghyu Sun
article en

Abstract

As the key equipment of the modern manufacturing industry, the health status of CNC horizontal double-sided milling and boring machining units directly affects the production efficiency and product quality. In this paper, a health status assessment method of CNC horizontal double-sided milling and boring machining unit based on the G1 method and cloud model is proposed. Firstly, an evaluation index system encompassing mechanical performance, electrical systems, and functional efficiency is constructed, and the weight of each evaluation index is determined by the G1 method. Then, the cloud model is used to comprehensively evaluate the health status of the device, calculate the membership degree of each indicator under different health levels, and draw the comprehensive cloud model to obtain the comprehensive health status of the device. Finally, targeted maintenance recommendations are provided based on the assessment results to ensure stable equipment operation and enhance production efficiency.

Jinan Maternity And Care Hospital (CN)
Openalex Percentile: Top 63%
Advanced Decision-Making Techniques
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