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Abstract
Background: Although hydraulic support can help enterprises in their production activities, it can also cause fatal accidents. Methods: 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). Results: 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. Implications: The implications of these findings with respect to hydraulic support failure can be regarded as the foundation for accident prevention in practice.
Highlights
In 2005, the State Council of the People’s Republic of China proposed optimizing the energy structure and vigorously developing clean energy [1]
Since Fussell–Vesely importance reflects only the impact of the nonoccurrence of the basic event on the occurrence probability of the top event, we proposed Fussell–Vesely–Xu importance to reflect the impact of both basic event occurrence and nonoccurrence on the occurrence probability of the top event
(1) The sensitivity of the evolutionary process to initial conditions The hydraulic support failure process is affected by the cross-coupling of the employee, object, environment, and management subsystems, and a fault in any link of the system Sensors 2021, 21, x FOR PEER REVImEWay cause changes in the state of each subsystem
Summary
In 2005, the State Council of the People’s Republic of China proposed optimizing the energy structure and vigorously developing clean energy [1]. Hydraulic support is a structure used to control the pressure on the coal-mining face and can effectively prevent the gangue from entering the mining face. A comprehensive analysis of possible failures of hydraulic support is helpful to promote safe practices in coal mines. 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). Results: 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. 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. Implications: The implications of these findings with respect to hydraulic support failure can be regarded as the foundation for accident prevention in practice
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