[1]张治国,刘久富,郑锐.柔性制造系统的部分可观时间 Petri 网故障诊断[J].计算机技术与发展,2018,28(10):83-87.[doi:10.3969/ j. issn.1673-629X.2018.10.017]
　ZHANG Zhi-guo,LIU Jiu-fu,ZHENG Rui.Fault Diagnosis of Flexible Manufacturing System Using Partially Observed Time Petri Nets[J].,2018,28(10):83-87.[doi:10.3969/ j. issn.1673-629X.2018.10.017]
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柔性制造系统的部分可观时间 Petri 网故障诊断()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年10期
页码:
83-87
栏目:
智能、算法、系统工程
出版日期:
2018-10-10

文章信息/Info

Title:
Fault Diagnosis of Flexible Manufacturing System Using Partially Observed Time Petri Nets
文章编号:
1673-629X(2018)10-0083-05
作者:
张治国; 刘久富; 郑锐
南京航空航天大学 自动化学院,江苏 南京 210016
Author(s):
ZHANG Zhi-guo; LIU Jiu-fu; ZHENG Rui
School of Automation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
时间 Petri 网; 部分可观; 故障诊断; 柔性制造系统
Keywords:
time Petri nets; partially observed; fault diagnosis; flexible manufacturing system
分类号:
TP391
DOI:
10.3969/ j. issn.1673-629X.2018.10.017
文献标志码:
A
摘要:
研究了 Petri 网在柔性制造系统中的故障诊断问题。 针对柔性制造系统中工业机器人故障率高且部分关键信息无法通过传感器获取的问题,利用时间 Petri 网在实时系统中的重要作用,结合部分可观时间 Petri 网和状态类图(state class graph,SCG),提出构建修正状态类图(modified state class graph,MSCG)的方法。 首先根据执行机构是否可观分为可观测变迁和不可观测变迁并结合变迁触发关系(同步、异步)修正各变迁时间区间建立系统的修正状态类图(MSCG)。 然后根据提出的故障诊断算法,寻找所有满足可观测变迁触发时间和序列信息的路径,判断所有路径组成的集合是否包含故障变迁,诊断系统是否发生故障。 最后以某柔性制造系统为例,结合零件加工过程中各执行机构可观测状态,建立 Petri 网模型,对系统不可观部分进行故障诊断,验证了算法的有效性。
Abstract:
The fault diagnosis of flexible manufacturing system (FMS) is researched. Aiming at the high failure rate of industrial robots in FMS and some key information not obtained through the sensors,we present a method of building modified state class graph (MSCG) based on partially observed time Petri nets (POTPN) and state class graph (SCG). Firstly,the transitions are divided into observable and unobservable transitions according to the observability of the actuators,and the time intervals are modified based on the different relationship of the transitions (synchronization and asynchronous). The modified state class graph are built with time Petri nets. Then,finding all paths that are effective based on the algorithm presented and the firing time of observed transitions to determine whether the effective paths have fault transitions. Finally,taking a flexible manufacturing system as an example and combining the observable state of each actuator in the part processing,the Petri net model is established to diagnose the unobservable part of the system and verify the effectiveness of the algorithm.
更新日期/Last Update: 2018-10-10