中国机械工程2026，Vol.37Issue(2)：383-389,7.DOI:10.3969/j.issn.1004-132X.2026.02.013
基于两阶段灰云模型的工件加工精度异常评估
Abnormal Evaluation of Machining Accuracy of Workpieces Based on a Two-stage Grey Cloud Model
摘要
Abstract
To address the difficulty in analyzing and evaluating the degree of abnormal machining accu-racy of workpieces,an evaluation method was proposed based on a two-stage grey cloud model.Work-piece accuracy deviation data were extracted,and an abnormal evaluation system for machining accuracy of workpieces was established from the dynamic fluctuation law of deviations,the accurate identification of ab-normal data,and the quantitative characterization of the abnormal degree.The autoregressive 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 compre-hensive weights,and a two-stage normal grey cloud model was constructed to evaluate each accuracy items.Correctness and feasibility of the proposed method were verified through gear machining experi-ments.关键词
加工精度/云模型/工件/灰色系统理论Key words
machining accuracy/cloud model/workpiece/grey system theory分类
机械制造引用本文复制引用
冉琰,律永新..基于两阶段灰云模型的工件加工精度异常评估[J].中国机械工程,2026,37(2):383-389,7.基金项目
国家自然科学基金(52275473 （）
51835001) （）
中央高校基本科研业务费专项资金(2025CDJZKZCQ-04) （2025CDJZKZCQ-04）
