考虑性能参数变化的混流制造系统脆弱性评估方法

doi:10.3901/JME.2019.18.215

摘要/Abstract

摘要： 针对现有混流制造系统脆弱性评估方法的不足，在考虑系统性能参数实时变化的情况下，提出了一种基于L_Z变换的脆弱性评估方法。利用离散时间马尔科夫原理求得制造单元各状态的瞬时概率，基于系统的结构特征和L_Z变换原理、通用生成函数的串并联构造算子等得到制造单元和系统的L_Z变换函数；根据混流制造系统脆弱性定义和系统的L_Z变换函数，以其可用度、平均输出期望值和瞬时缺陷率等为脆弱性评价指标，建立混流制造系统的脆弱性评价模型；以一个包含7个制造单元的混流制造系统为例，通过求解系统的L_Z变换函数，建立基于可用度、输出性能期望值、瞬时性能缺陷等评估指标的脆弱性评价模型，得到系统的脆弱性实时变化曲线，验证了该方法的可行性，扩展了脆弱性评价的应用范围。

关键词: 混流制造系统, L_Z变换, 脆弱性, 评价

Abstract: 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 L_Z-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 L_Z-transform of manufacturing unit and the series-parallel construction operator of the general generation function, the L_Z-transform function of the MMS is obtained. Secondly, by following the system's vulnerability definition and L_Z-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 L_Z-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.

Key words: mixed-flow manufacturing system, L_Z-transform, vulnerability, assessment

中图分类号:

TG156

高贵兵, 岳文辉, 王峰. 考虑性能参数变化的混流制造系统脆弱性评估方法[J]. 机械工程学报, 2019, 55(18): 215-224.

GAO Guibing, YUE Wenhui, WANG Feng. Vulnerability Assessment Method for Mixed-flow Manufacturing System with Time-varying Performance Parameters[J]. Journal of Mechanical Engineering, 2019, 55(18): 215-224.

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