| 加工中心部件故障相关度评估 |
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| 引用本文： | 龙哲,申桂香,张英芝,曾文彬,荣峰.加工中心部件故障相关度评估[J].哈尔滨工业大学学报,2017,49(1):133-138. |
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| 作者姓名： | 龙哲 申桂香 张英芝 曾文彬 荣峰 |
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| 作者单位： | 吉林大学 机械科学与工程学院, 长春 130022 ;长春工业大学 工程训练中心, 长春 130012,吉林大学 机械科学与工程学院, 长春 130022,吉林大学 机械科学与工程学院, 长春 130022,吉林大学 机械科学与工程学院, 长春 130022,吉林大学 机械科学与工程学院, 长春 130022 |
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| 基金项目： | “高档数控机床与基础制造装备”国家科技重大专项(2015ZX04003002); 国家自然科学基金(51275205) |
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| 摘 要： | 为实现加工中心系统部件间故障相关度评估,采用相关故障机理分析与图论相结合建立系统部件故障传递有向图的方法,将系统部件相关度评估转化为复杂网络节点重要度计算,进而由邻接矩阵及其转置变换并结合pagerank算法,实现加工中心系统部件故障相关度求解.计算结果表明:故障相关度的大小与部件间故障关联关系成正比,存在故障相关的部件的故障相关度大于不存在故障相关的部件的故障相关度.若部件被影响度大,影响度小,说明该部件是故障表象部件;反之,影响度大而被影响度小的是故障源部件.提出的方法有助于故障诊断与维护.
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| 关 键 词： | 加工中心 部件 关联故障 故障相关度 pagerank算法 |
| 收稿时间： | 2015/12/1 0:00:00 |
Evaluation of the fault correlation of machining center components |
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| LONG Zhe,SHEN Guixiang,ZHANG Yingzhi,ZENG Wenbin and RONG Feng.Evaluation of the fault correlation of machining center components[J].Journal of Harbin Institute of Technology,2017,49(1):133-138. |
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| Authors: | LONG Zhe SHEN Guixiang ZHANG Yingzhi ZENG Wenbin and RONG Feng |
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| Affiliation: | College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China ;Engineering Training Center, Changchun University of Technology, Changchun 130012, China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China and College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China |
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| Abstract: | To evaluate the fault correlation of machining center system components, by using the related fault mechanism analysis combining graph theory, a method of transfer directed graph of system components fault is built up, the correlation evaluation of system components is converted to the calculation of complex network node importance, and by the adjacency matrix and its transpose transform combining PageRank algorithm, the CNC machining center fault correlation method is obtained. The calculation results show that the size of fault correlation and the relation of component fault correlation is proportional, and the fault correlation of the fault correlation component is greater than those components with no fault correlation. If the influenced degree of a component is larger than its influencing degree, it is the fault appearance component, on the contrary, it is the fault source component. This helps to the fault diagnosis and maintenance. |
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| Keywords: | machining center components relevant fault fault correlation pagerank algorithm |
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