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Petri网逆网在主轴故障诊断中的应用
引用本文:谷东伟,张学文,王志琼,申桂香,张英芝. Petri网逆网在主轴故障诊断中的应用[J]. 重庆大学学报(自然科学版), 2016, 39(6): 111-117. DOI: 10.11835/j.issn.1000-582X.2016.06.014
作者姓名:谷东伟  张学文  王志琼  申桂香  张英芝
作者单位:1. 长春工业大学 机电工程学院,长春 130012; 吉林大学 机械科学与工程学院,长春 130022;2. 长春工业大学 机电工程学院,长春,130012;3. 吉林大学 机械科学与工程学院,长春,130022
基金项目:教育部“春晖计划”(Z2014140);吉林省科技发展计划项目(20140520126JH);吉林省教育厅十二五科学技术研究项目资助(2015-80)。
摘    要:为了能够快速寻找主轴故障原因,采用 Petri 网逆网对数控机床主轴进行故障诊断。建立 petri 网逆网模型构建数控机床主轴关联故障可达图,深入系统分析主轴故障的各个子系统、故障模式和故障根本原因,并对故障模式和故障原因进行关联性分析;分析状态转移可达集,掌握主轴关联故障的传递过程,寻找导致主轴故障的根本原因;并以数控机床主轴噪声大为例描述数控机床主轴 Petri 网逆网故障诊断过程。主轴关联故障的 Petri 网逆网研究,有助于迅速进行主轴故障诊断与维修,缩短修复时间,进一步提高主轴的可用度。

关 键 词:主轴  故障诊断  Petri 网逆网
收稿时间:2016-08-13

Inverse Petri net and its application to spindle fault diagnosis
GU Dongwei,ZHANG Xuewen,WANG Zhiqiong,SHEN Guixiang and ZHANG Yingzhi. Inverse Petri net and its application to spindle fault diagnosis[J]. Journal of Chongqing University(Natural Science Edition), 2016, 39(6): 111-117. DOI: 10.11835/j.issn.1000-582X.2016.06.014
Authors:GU Dongwei  ZHANG Xuewen  WANG Zhiqiong  SHEN Guixiang  ZHANG Yingzhi
Affiliation:School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, P. R. China;College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China,School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, P. R. China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China,College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China and College of Mechanical Science and Engineering, Jilin University, Changchun 130022, P. R. China
Abstract:In order to quickly find the cause of the spindle failure, inverse Petri net was adopted to diagnose the fault of CNC(computerized numerical control) machine tool spindle. An inverse Petri net model of related failure for CNC machine tool spindle was established to obtain the inverse Petri net reachability graph of the spindle. And the failure of subsystems, failure modes and failure causes can be thorough analyzed. In addition, the relevance of fault modes and fault causes can be analyzed by the reachability graph. By analyzing state transferring reachable set, we can grasp the transmission process of spindle related failure and get the root cause of failure. By taking the loud noise of spindle as an example, its fault diagnosis process with inverse Petri net was described. Studying inverse Petri net of spindle related failure can help to diagnosis and repair the spindle quickly, shorten the repair time and improve the availability of the spindle.
Keywords:spindle  fault diagnosis  inverse Petri net
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