College of Information and Management Science, Henan Agricultural University, Zhengzhou 450046, China.
School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China.
Sensors (Basel). 2021 Oct 30;21(21):7240. doi: 10.3390/s21217240.
Although hydraulic support can help enterprises in their production activities, it can also cause fatal accidents.
This study established a composite risk-assessment method for hydraulic support failure in the mining industry. The key basic event of hydraulic support failure was identified based on fault tree analysis and gray relational analysis, and the evolution mechanism of hydraulic support failure was investigated based on chaos theory, a synthetic theory model, and cause-and-effect-layer-of-protection analysis (LOPA).
After the basic events of hydraulic support failure are identified based on fault tree analysis, structure importance (SI), probability importance (PI), critical importance (CI), and Fussell-Vesely importance (FVI) can be calculated. In this study, we proposed the Fussell-Vesely-Xu importance (FVXI) to reflect the comprehensive impact of basic event occurrence and nonoccurrence on the occurrence probability of the top event. Gray relational analysis was introduced to determine the integrated importance (II) of basic events and identify the key basic events. According to chaos theory, hydraulic support failure is the result of cross-coupling and infinite amplification of faults in the employee, object, environment, and management subsystems, and the evolutionary process has an obvious butterfly effect and inherent randomness. With the help of the synthetic theory model, we investigated the social and organizational factors that may lead to hydraulic support failure. The key basic event, jack leakage, was analyzed in depth based on cause-and-effect-LOPA, and corresponding independent protection layers (IPLs) were identified to prevent jack leakage.
The implications of these findings with respect to hydraulic support failure can be regarded as the foundation for accident prevention in practice.
虽然液压支架可以帮助企业进行生产活动，但也可能导致致命事故。
本研究建立了一种矿山液压支架故障复合风险评估方法。基于故障树分析和灰色关联分析，确定了液压支架故障的关键基本事件，并基于混沌理论、综合理论模型和保护层分析（LOPA）研究了液压支架故障的演化机制。
在基于故障树分析识别液压支架故障的基本事件后，可以计算结构重要度（SI）、概率重要度（PI）、临界重要度（CI）和 Fussell-Vesely 重要度（FVI）。本研究提出了 Fussell-Vesely-Xu 重要度（FVXI），以反映基本事件发生和不发生对顶事件发生概率的综合影响。引入灰色关联分析确定基本事件的综合重要度（II），并识别关键基本事件。根据混沌理论，液压支架故障是员工、物体、环境和管理子系统中故障的交叉耦合和无限放大的结果，其演化过程具有明显的蝴蝶效应和固有随机性。借助综合理论模型，研究了可能导致液压支架故障的社会和组织因素。基于因果关系-LOPA 对关键基本事件——千斤顶泄漏进行了深入分析，并确定了相应的独立保护层（IPL）以防止千斤顶泄漏。
这些发现对液压支架故障的意义可以被视为实践中事故预防的基础。
