中国机械工程2025，Vol.36Issue(10)：2351-2358,8.DOI:10.3969/j.issn.1004-132X.2025.10.024
不确定服役环境下废旧零部件损伤-质量状态映射模型
Damage-quality State Mapping Model of Scrap Parts under Uncertain Service Environment
摘要
Abstract
Given the uncertainty of the service environment,the quality assessment of scrap parts be-came more complex.A damage-based multi-state mapping model(DBMS)was proposed herein based on Dirichlet distribution.The model determined the main failure characteristics by analyzing the failure behav-iors of the scrap parts,adopted multinomial distribution for mathematical abstraction of the damage data of parts,and selected Dirichlet distribution as the prior probability distribution.The posterior distribution pa-rameters were updated by Bayes formula,and the posterior probability expected value of damage data mapped to different quality levels was obtained.Further,D-S evidence theory was introduced to integrate damage information to realize the comprehensive assessment of the quality of scrap parts.In order to verify the feasibility and effectiveness of the model,waste worm gear was taken as the case study object and com-pared with existing literature methods.The experimental results show that the model has advantages in pre-diction accuracy and generalization ability.关键词
不确定服役环境/废旧零部件/质量评估/Dirichlet分布Key words
uncertain service environment/scrap part/quality assessment/Dirichlet distribution分类
机械工程引用本文复制引用
郭洪飞,钟方,任亚平..不确定服役环境下废旧零部件损伤-质量状态映射模型[J].中国机械工程,2025,36(10):2351-2358,8.基金项目
国家自然科学基金(52205526,52465061) （52205526,52465061）
广州市科技计划(202201010284) （202201010284）
中央高校基本科研业务费专项资金(21623219) （21623219）
内蒙古自治区科技创新重大示范工程"揭榜挂帅"项目(2024JBGS0035) （2024JBGS0035）
内蒙古自治区自然科学基金重点项目(2024ZD26) （2024ZD26）
内蒙古自治区社会科学基金重大专项(2024WTZD03) （2024WTZD03）
内蒙古自治区重点研发和成果转化计划(2023YFJM0007) （2023YFJM0007）
贵州省教育厅联合开放基金(黔教技[2022]438号) （黔教技[2022]438号）
