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工程设计学报
Chinese Journal of Engineering Design  2010, Vol. 17 Issue (1): 25-29    DOI:
    
Method of maintainability prediction of complex equipment based on CPN simulation
 YANG  Chun-Hui, YANG  Jian-Jun, HU  Tao
Department of Management Engineering, Naval University of Engineering, Wuhan 430033, China
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Abstract  The complex system structure and multiple operation modes of complex equipment lead to the hardness to accurately calculate mean time to repair (MTTR) using conventional maintainability prediction model. After analyzing the characteristics of the complex equipment maintainability, a maintainability prediction model was presented, which took into account the disassembling order and the system failure modes. And then the multi-layer CPN model was established, and the MTTR was obtained by simulations. In the proposed CPN model, the control variables were defined, and the adaptability of the CPN model was guaranteed by parameterizing the input quantities. Finally, a case was simulated to demonstrate its feasibility．

Key words： maintainability prediction      complex equipment      colored Petri nets      mean time to repair     
Published: 28 February 2010
CLC:  TP 391  
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YANG Chun-Hui
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HU Tao-
Cite this article:

YANG Chun-Hui, YANG Jian-Jun, HU Tao. Method of maintainability prediction of complex equipment based on CPN simulation. Chinese Journal of Engineering Design, 2010, 17(1): 25-29.

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https://www.zjujournals.com/gcsjxb/     OR     https://www.zjujournals.com/gcsjxb/Y2010/V17/I1/25


基于CPN仿真的复杂装备系统维修性预计方法研究

复杂装备系统结构复杂,运行模式多,导致传统的维修性预计模型无法准确计算出平均修复时间(mean time to repair, MTTR).在分析复杂装备系统维修特点的基础上，提出考虑设备拆卸顺序和系统故障模式的维修性预计模型,并应用CPN建立多层次的仿真模型,通过仿真运行获得MTTR.CPN模型中定义了模型变量,通过将计算MTTR的输入参数化,能够保证CPN模型具备广泛的适应性.案例仿真表明所提出的方法具有可行性.

关键词： 维修性预计,  复杂装备系统,  着色Petri网,  平均修复时间 
[1] WANG Cheng-Gang, WANG Xue-Wei, YANG Zhi-Yong, ZENG Ru-Wei. Study on correlation algorithm of failure mode rates in testability modeling[J]. Chinese Journal of Engineering Design, 2009, 16(4): 252-255.