Vulnerability Assessment Method for Mixed-flow Manufacturing System with Time-varying Performance Parameters

被引：0

作者：

Gao G. ^{[1
]}

Yue W. ^{[1
]}

Wang F. ^{[1
]}

机构：

[1] College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan

来源：

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2019年 / 55卷 / 18期

关键词：

Assessment; L[!sub]Z[!/sub]-transform; Mixed-flow manufacturing system; Vulnerability;

D O I：

10.3901/JME.2019.18.215

中图分类号：

学科分类号：

摘要：

For the disadvantages of the conventional vulnerability assessment methods for the mixed flow manufacturing system, by considering the real-time changes performance parameters of this type of system, a quantitative evaluation method for the vulnerability of mixed-flow manufacturing system (MMS) by using the LZ-transform is proposed. Firstly, using the discrete-time Markov principle, the instantaneous probability of each state of the manufacturing unit is obtained. According to the structural characteristics of the MMS, the LZ-transform of manufacturing unit and the series-parallel construction operator of the general generation function, the LZ-transform function of the MMS is obtained. Secondly, by following the system's vulnerability definition and LZ-transform function of MMS, the vulnerability assessment method is established by regarding the availability, expectation of average output, and instantaneous performance defect as the evaluation index. Finally, taking a simple MMS as an example, a vulnerability assessment method which is based on the corresponding LZ-transform function is proposed to evaluate the vulnerability. Compared to the traditional state entropy-based method, the results verify the applicability for the actual situation and the application of vulnerability assessment is also expanded. © 2019 Journal of Mechanical Engineering.

引用

页码：215 / 224

页数：9

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