Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Incorporating Human Reliability Analysis to enhance Maintenance Audits: The Case of Rail Bogie Maintenance
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7229-4050
The Lloyd's Register Foundation Transport Risk Management Centre Centre for Transport Studies, Imperial College London London, UK.
ETH Zurich, Future Resilient Systems, Singapore ETH Centre, Singapore .
2017 (English)In: International Journal of Prognostics and Health Management, ISSN 2153-2648, E-ISSN 2153-2648, Vol. 8, article id 062Article in journal (Refereed) Published
Abstract [en]

Human errors occurring during railway maintenance activities can significantly reduce the availability of equipment. Identification of potential human errors, their causes and prediction of the associated probabilities are important stages in order to manage such errors. This paper investigates the probability of human error during the maintenance of railway bogies. A case study examines technicians performing maintenance on the disc brake assembly unit, wheel set, and bogie frame under various error producing conditions in a railway maintenance workshop in Luleå, Sweden. The Human Error Assessment and Reduction Technique (HEART) is employed to determine the probability of human error occurring during each of the maintenance tasks, while fault tree analysis is used to define the potential errors throughout the maintenance process. The probability of a technician committing an error during the maintenance of the disc brake assembly, wheel set, and bogie frame is found to be 0.20, 0.039 and 0.021 respectively, with the human error probability (HEP) for the entire bogie 0.24. Time pressure, ability to detect and perceive problems, over-riding information, the need to make decisions and mismatches between the operator and designer’s model turn out to be major contributors to human error. These findings can help maintenance management personnel to better understand the error producing conditions that may lead to errors and in turn serve as an input to modify policies and guidelines for railway maintenance tasks.

Place, publisher, year, edition, pages
USA: Prognostics and Health Management (PHM) Society , 2017. Vol. 8, article id 062
Keywords [en]
Human error, maintenance error probability
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-67612OAI: oai:DiVA.org:ltu-67612DiVA, id: diva2:1182082
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-05-07

Open Access in DiVA

fulltext(574 kB)15 downloads
File information
File name FULLTEXT01.pdfFile size 574 kBChecksum SHA-512
331183cf77272c8c2e7aaf2c52c5784629419296927f8b8a912ac98a67f93b0d12f4dc1f30978de34bb3cbab6c41a5131e99160790152defc54d31ac4b05ed35
Type fulltextMimetype application/pdf

Other links

https://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2016/ijphm_17_062.pdf

Search in DiVA

By author/editor
Singh, Sarbjeet
By organisation
Operation, Maintenance and Acoustics
In the same journal
International Journal of Prognostics and Health Management
Engineering and TechnologyOther Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 15 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf