Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Risk- and Condition-Based Maintenance
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-0188-4624
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics. Mechanical Engineering Department, Government College of Engineering and Technology, Jammu, Jammu, India.ORCID iD: 0000-0001-7229-4050
2019 (English)In: Transportation Systems: Managing Performance through Advanced Maintenance Engineering / [ed] Sarbjeet Singh, Alberto Martinetti, Arnab Majumdar, Leo A. M. van Dongen, Springer, 2019, 1, p. 55-72Chapter in book (Other academic)
Abstract [en]

Condition-based maintenance (CBM) strategies have increased in recognition over the last decades, and continues to do so with an internationalized market and cheaper sensor technology. CBM is in many cases the most effective approach to maintenance, considering risk, resource use, sustainability, safety and cost. Thus, CBM is often feasible both from a life-cycle cost (LCC) perspective and a life cycle analysis (LCA) perspective. In this chapter, we will study risk-based and condition-based maintenance from a maintenance and reliability perspective. After a brief background, we will discuss the necessary conditions for CBM to be a feasible strategy for optimized usage of equipment. On the operational level, CBM can be on schedule, on request or on a continuous monitoring basis. Thus, the technologies used for CBM can broadly be divided into continuous monitoring, which often is simply called condition monitoring, and into non-destructive testing (NDT), for periodic inspections. Therefore, two sections are dedicated to condition monitoring and NDT. Additional techniques for CBM and risk assessment will be discussed in the section thereafter. Lastly, we will look briefly into the continuously growing topic of prognostics.

Place, publisher, year, edition, pages
Springer, 2019, 1. p. 55-72
Series
Asset analytics, ISSN 2522-5162, E-ISSN 2522-5170
Keywords [en]
Condition-based maintenance, Non-destructive testing, Failure mechanisms, Risk assessment, Reliability modelling, Prognostics
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering; Solid Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-98674DOI: 10.1007/978-981-32-9323-6_5ISBN: 978-981-32-9322-9 (print)ISBN: 978-981-32-9323-6 (electronic)OAI: oai:DiVA.org:ltu-98674DiVA, id: diva2:1771792
Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2023-06-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Stenström, ChristerSingh, Sarbjeet

Search in DiVA

By author/editor
Stenström, ChristerSingh, Sarbjeet
By organisation
Operation, Maintenance and Acoustics
Reliability and Maintenance

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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