基于两阶段灰云模型的工件加工精度异常评估

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关键词:加工精度;云模型;工件;灰色系统理论

中图分类号:TH161

DOI:10.3969/j.issn.1004-132X.2026.02.013 开放科学(资源服务)标识码(OSID):

Abnormal Evaluation of Machining Accuracy of Workpieces Based on a Two-stage Grey Cloud Model

RAN Yan1* LYU Yongxin² 1.State Key Laboratory of Mechanical Transmission for Advanced Equipment,Chongqing University, Chongqing,400044 2.BYD Auto Industry Company Ltd., Shenzhen,Guangdong,518118

Abstract:To address the dificulty in analyzing and evaluating the degree of abnormal machining accuracy of workpieces,an evaluation method was proposed based on a two-stage grey cloud model. Workpiece accuracy deviation data were extracted,and an abnormal evaluation system for machining accuracy of workpieces was established from the dynamic fluctuation law ofdeviations,the accurate identification of abnormal data,and the quantitative characterization of the abnormal degree. The autoregressve integrated moving average model and statistical process control method were combined to detect abnormal data,and the Markov transition matrix was used to evaluate the credibility of anomalies.The analytic hierarchy pro cess improved by the cloud model and the entropy weight method,was employed to determine the comprehensive weights,and a two-stage normal grey cloud model was constructed to evaluate each accuracy items.Corrctness and feasibility of the proposed method were verified through gear machining experiments.

Key words:machining accuracy;cloud model;workpiece;grey system theor.

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