Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Qingwei Xu, Kaili Xu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	hydraulic support failure mining industry fault tree analysis chaos theory synthetic theory model cause-and-effect-LOPA Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/36401156fb1040a88f4f5fa4ac30fbda
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:36401156fb1040a88f4f5fa4ac30fbda
record_format	dspace
spelling	oai:doaj.org-article:36401156fb1040a88f4f5fa4ac30fbda2021-11-11T19:12:37ZImportance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health10.3390/s212172401424-8220https://doaj.org/article/36401156fb1040a88f4f5fa4ac30fbda2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7240https://doaj.org/toc/1424-8220Background: 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.Qingwei XuKaili XuMDPI AGarticlehydraulic support failuremining industryfault tree analysischaos theorysynthetic theory modelcause-and-effect-LOPAChemical technologyTP1-1185ENSensors, Vol 21, Iss 7240, p 7240 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydraulic support failure mining industry fault tree analysis chaos theory synthetic theory model cause-and-effect-LOPA Chemical technology TP1-1185
spellingShingle	hydraulic support failure mining industry fault tree analysis chaos theory synthetic theory model cause-and-effect-LOPA Chemical technology TP1-1185 Qingwei Xu Kaili Xu Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
description	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.
format	article
author	Qingwei Xu Kaili Xu
author_facet	Qingwei Xu Kaili Xu
author_sort	Qingwei Xu
title	Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
title_short	Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
title_full	Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
title_fullStr	Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
title_full_unstemmed	Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health
title_sort	importance-based key basic event identification and evolution mechanism investigation of hydraulic support failure to protect employee health
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/36401156fb1040a88f4f5fa4ac30fbda
work_keys_str_mv	AT qingweixu importancebasedkeybasiceventidentificationandevolutionmechanisminvestigationofhydraulicsupportfailuretoprotectemployeehealth AT kailixu importancebasedkeybasiceventidentificationandevolutionmechanisminvestigationofhydraulicsupportfailuretoprotectemployeehealth
_version_	1718431577054117888

Importance-Based Key Basic Event Identification and Evolution Mechanism Investigation of Hydraulic Support Failure to Protect Employee Health

Ejemplares similares