刘晋, 吴政阳, 谯自强, 黄军建, 韩琦. 复杂机械系统部件的失效机理量化分析[J]. 失效分析与预防, 2017, 12(4): 203-209. DOI: 10.3969/j.issn.1673-6214.2017.04.001
    引用本文: 刘晋, 吴政阳, 谯自强, 黄军建, 韩琦. 复杂机械系统部件的失效机理量化分析[J]. 失效分析与预防, 2017, 12(4): 203-209. DOI: 10.3969/j.issn.1673-6214.2017.04.001
    LIU Jin, WU Zheng-yang, QIAO Zi-qiang, HUANG Jun-jian, HAN Qi. Failure Mechanism of Components in Complex Mechanical System by Quantitative Analysis[J]. Failure Analysis and Prevention, 2017, 12(4): 203-209. DOI: 10.3969/j.issn.1673-6214.2017.04.001
    Citation: LIU Jin, WU Zheng-yang, QIAO Zi-qiang, HUANG Jun-jian, HAN Qi. Failure Mechanism of Components in Complex Mechanical System by Quantitative Analysis[J]. Failure Analysis and Prevention, 2017, 12(4): 203-209. DOI: 10.3969/j.issn.1673-6214.2017.04.001

    复杂机械系统部件的失效机理量化分析

    Failure Mechanism of Components in Complex Mechanical System by Quantitative Analysis

    • 摘要: 针对复杂机械系统级联失效情况,提出了一种新的量化分析方法研究其失效机理。通过分析级联失效过程中各部件之间的转换关系,建立了系统失效机理模型(PFR模型)。对PFR模型进行数学理论推导,形成了机械系统各部件转换关系理论。利用MATLAB仿真模拟研究分析影响率、维护率、修复率、转化率4个参数对复杂机械系统部件失效的影响,包括4个参数对潜在故障部件、故障部件实时变化趋势的影响。研究结果表明:系统部件失效的主要影响因素是影响率和修复率;系统部件失效与影响率和转化率成正相关关系,与修复率和维护率成负相关关系;复杂机械系统中故障部件数与总部件数的比值达到峰值之前必须采取措施,以减少影响率和转化率,增加修复率和维护率。

       

      Abstract: Aiming at the cascade failure of complex mechanical systems, a new quantitative analysis method was put forward to investigate their failure mechanism. By analyzing the conversion relationship of components in mechanical systemsduring cascading failure, a failure mechanism model for complex mechanical systems was established. Mathematical theory deduction was carried out on the model, and conversion relationshiptheories of components in complex mechanical systems were established. The influence of influence rate, maintenance rate, repair rate andconversion rate on the failure of components in complex mechanical systems was studied by simulation with MATLAB, including the influence of the four parameters on potential failure components and the real time change trend of failure components. The results show that influence rate and repair rate are main influencing factors for failure of system components. There is a positive correlation between the failure of system components and influence rate, conversion rate, but there is a negative correlation between the failure of system components and repair rate, maintenance rate. Before the proportion of failure components in the total components arrives at its highest point, some measures should be taken to reduceinfluence rate and conversion rate and increase repair rate and maintenance rate.

       

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