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基于逼近理想解和模糊综合评价的机械产品元动作健康状态评估OA北大核心CSTPCD

Evaluation of the meta-action health state of mechanical products based on approximate ideal solution and fuzzy comprehensive evaluation

中文摘要英文摘要

健康状态评估是机械产品高质量发展不可或缺的一环.从运动层面出发,以机械产品中的元动作单元为研究对象,提出一种基于逼近理想解和模糊综合评价的健康状态评估方法.首先,采用M-FMMECA方法,确定元动作单元的关键性能退化指标,给出元动作单元健康指数这一量化指标;接着,将逼近理想解法运用到元动作健康状态评估中,建立元动作单元健康状态量化模型;然后,在完成健康状态分级后,采用模糊综合评价法确定元动作单元健康状态隶属度函数,完成健康状态评估;最后,以某可靠性试验台锥齿轮转动元动作单元为例,进行健康状态评估方法的实例分析.研究表明,将逼近理想解与模糊综合评价结合,可以定量且更加全面地评估元动作单元健康状态.

Health status assessment is an indispensable part of the high-quality development of mechanical products.Starting from the motion level,it proposes a health state assessment method based on approximate ideal solution and fuzzy comprehensive eval-uation method based on the meta-action unit in mechanical products as the research object.Firstly,the M-FMMECA method was used to determine the key degradation indicators of meta-action performance,and then the quantitative index of meta-action unit health index was given.Next,the approximate ideal solution was applied to the evaluation of meta-action health state,and a quantitative model of meta-action unit health state was established.Then,after completing the classification of health status,the fuzzy comprehensive evaluation method was used to determine the health status membership function of the meta-action unit,and the health status assessment was completed.Finally,taking the bevel gear rotation element action unit of a reliability test bench as an example,a case analysis of the health state assessment method was carried out.The results show that combining the approx-imation ideal solution with fuzzy comprehensive evaluation can quantitatively and comprehensively evaluate the health status of the meta-action unit.

蔡易峰;冉琰

重庆大学机械与运载工程学院,重庆 400044||重庆大学机械传动国家重点实验室,重庆 400044

机械工程

元动作单元逼近理想解法模糊综合评价健康状态评估

meta-action unitapproximating the ideal solutionfuzzy comprehensive evaluationhealth status assessment

《现代制造工程》 2024 (005)

复杂机电产品以元动作可靠性为中心的多元质量特性协同设计技术研究

1-9 / 9

国家自然科学基金资助项目(52275473,51835001)

10.16731/j.cnki.1671-3133.2024.05.001

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