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复杂机电产品基于元动作分解的可靠性建模及故障诊断
引用本文:张根保,王新,冉琰,朱国云.复杂机电产品基于元动作分解的可靠性建模及故障诊断[J].重庆大学学报(自然科学版),2017,40(8):9-18.
作者姓名:张根保  王新  冉琰  朱国云
作者单位:1. 重庆大学机械工程学院,重庆,400044;2. 重庆大学机械传动国家重点实验室,重庆,400044
基金项目:国家自然科学基金资助项目(51575070);国家"高档数控机床与基础制造装备"科技重大专项(2014ZX04001-031)。
摘    要:为了探讨复杂运动机电产品的故障诊断方法,按照功能-运动-动作(functionsmovement-action,FMA)对复杂机电产品进行结构化分解,根据结构化分解和符号有向图提出了复杂机电产品的可靠性故障诊断模型。为了进一步提高模型的故障诊断能力,将复杂机电产品的元动作定量信息加入模型中,利用模糊数学理论对元动作故障进行定量诊断。采用该方法可以通过对产品运行的变量监测,提高对产品故障的识别能力,为运动复杂机电产品的故障诊断提供基础模型。最后,以某型号加工中心刀库为例,验证了方法的可行性。

关 键 词:符号有向图  复杂机电产品  模糊数学  故障诊断  定量分析
收稿时间:2017/2/10 0:00:00

Reliability modeling and fault diagnosing method of complex electromechanical products based on meta-action decomposition
ZHANG Genbao,WANG Xin,RAN Yan and ZHU Guoyun.Reliability modeling and fault diagnosing method of complex electromechanical products based on meta-action decomposition[J].Journal of Chongqing University(Natural Science Edition),2017,40(8):9-18.
Authors:ZHANG Genbao  WANG Xin  RAN Yan and ZHU Guoyun
Institution:1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, P. R. China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China,1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, P. R. China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China,1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, P. R. China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China and 1. College of Mechanical Engineering, Chongqing University, Chongqing 400044, P. R. China;2. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China
Abstract:To study the fault diagnosis method of many-movement complex electromechanical products, we first decomposed complex electromechanical products according to functions-movement-action(FMA) structural decomposition and established a reliability and fault diagnosis model based on meta-action decomposition and signed directed graph. Then, to improve the ability of fault identification, we brought the meta-action quantitative information of complex electromechanical products into the reliability and fault diagnosis model and diagnosed the fault of meta-action quantitatively by fuzzy theory. The proposed method can improve the fault identification ability of products by monitoring the operating status variables, and provide a fundamental model for fault root cause analysis. Finally, certain machining center was taken as an example to verify the effectiveness of proposed model and analysis method.
Keywords:signed directed graph  complex electromechanical products  fuzzy theory  fault diagnosis  quantitative analysis
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