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Keywords: human reliability analysis, accident investigation model, systemic theory, human factors analysis and classification system, risk management framework, freight derailments mechanism.

Abstract

This paper presents a systemic theory analysis approach, based on the comparison between the Risk Management Framework (RMF) and System Engineering theory (SE). To demonstrate the timeline of the accident and the safety barrier classifications that prevent accidents and protect the railway system from damage, three aspects should be reviewed and understood: Technical Reasons, Human Factors, and Organizational Influences. During 2018-2022, there were ten freight train derailment investigations or safety digests undertaken by RAIB. To learn the safety culture issue regarding the freight train derailments three cases have been considered, such as Llangennech (R012022), the failure of track fastening system design (R022021) at Eastleigh, and the derailment due to longitudinal train dynamics at London Gateway (R142023). The Llangennech derailment was precisely analysed in this work, the work investigated the organizational influence and human reliability factors, then discussed the reliability test during the maintenance procedure, and the utilization of a machine learning algorithm to deploy fault diagnostic action. A revised Human Error Assessment and Reduction Technique (revised HEART) and utilization of Error Producing Conditions (EPCs) will also be further discussed. In addition, the Human Factors Analysis and Classification System (HFACS) was advised, as the integration process of human factors, the precondition for unsafe acts and organizational influence. Furthermore, the paper suggests a Bayesian Networks (BNs) method to illustrate the reliability assessment model in maintenance systems and to improve Prognostic and Health Management (PHM). The quality analysis of key component reliability was discussed in this work on the technical side.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 7 PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 11.7 Application of Systemic Thinking to Learn Safety Culture and Human Reliability Perspectives in Freight Train Derailments H. Peng¹, G. Tucker² and C. Watson³ ¹Centre for Fundamental Computing Courses, Sichuan University, China ²Institute of Railway Research, School of Computing and Engineering, University of Huddersfield, Huddersfield, UK ³Birmingham Centre for Rail Research and Education, School of Engineering, University of Birmingham, United Kingdom doi:10.4203/ccc.7.11.7 Full Bibliographic Reference for this paper H. Peng, G. Tucker, C. Watson, "Application of Systemic Thinking to Learn Safety Culture and Human Reliability Perspectives in Freight Train Derailments", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 11.7, 2024, doi:10.4203/ccc.7.11.7 Keywords: human reliability analysis, accident investigation model, systemic theory, human factors analysis and classification system, risk management framework, freight derailments mechanism. Abstract This paper presents a systemic theory analysis approach, based on the comparison between the Risk Management Framework (RMF) and System Engineering theory (SE). To demonstrate the timeline of the accident and the safety barrier classifications that prevent accidents and protect the railway system from damage, three aspects should be reviewed and understood: Technical Reasons, Human Factors, and Organizational Influences. During 2018-2022, there were ten freight train derailment investigations or safety digests undertaken by RAIB. To learn the safety culture issue regarding the freight train derailments three cases have been considered, such as Llangennech (R012022), the failure of track fastening system design (R022021) at Eastleigh, and the derailment due to longitudinal train dynamics at London Gateway (R142023). The Llangennech derailment was precisely analysed in this work, the work investigated the organizational influence and human reliability factors, then discussed the reliability test during the maintenance procedure, and the utilization of a machine learning algorithm to deploy fault diagnostic action. A revised Human Error Assessment and Reduction Technique (revised HEART) and utilization of Error Producing Conditions (EPCs) will also be further discussed. In addition, the Human Factors Analysis and Classification System (HFACS) was advised, as the integration process of human factors, the precondition for unsafe acts and organizational influence. Furthermore, the paper suggests a Bayesian Networks (BNs) method to illustrate the reliability assessment model in maintenance systems and to improve Prognostic and Health Management (PHM). The quality analysis of key component reliability was discussed in this work on the technical side. download the full-text of this paper (PDF, 19 pages, 1069 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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