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
A Tool for Gas Turbine Maintenance Scheduling
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID iD: 0000-0003-1597-6738
RISE, Swedish ICT, SICS.
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-9331-0352
RISE, Swedish ICT, SICS, Decisions, Networks and Analytics lab.ORCID iD: 0000-0002-5893-7774
Show others and affiliations
2009 (English)In: Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence (IAAI'09), IEEE Computer Society , 2009, 20Conference paper, Published paper (Refereed)
Abstract [en]

We describe the implementation and deployment of a software decision support tool for the maintenance planning of gas turbines. The tool is used to plan the maintenance for turbines manufactured and maintained by Siemens Industrial Turbomachinery AB (SIT AB) with the goal to reduce the direct maintenance costs and the often very costly production losses during maintenance downtime. The optimization problem is formally defined, and we argue that feasibility in it is NP-complete. We outline a heuristic algorithm that can quickly solve the problem for practical purposes, and validate the approach on a real-world scenario based on an oil production facility. We also compare the performance of our algorithm with results from using mixed integer linear programming, and discuss the deployment of the application. The experimental results indicate that downtime reductions up to 65% can be achieved, compared to traditional preventive maintenance. In addition, using our tool is expected to improve availability with up to 1% and reduce the number of planned maintenance days with 12%. Compared to a mixed integer programming approach, our algorithm not optimal, but is orders of magnitude faster and produces results which are useful in practice. Our test results and SIT AB’s estimates based on operational use both indicate that significant savings can be achieved by using our software tool, compared to maintenance plans with fixed intervals.

Place, publisher, year, edition, pages
IEEE Computer Society , 2009, 20.
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-23632OAI: oai:DiVA.org:ri-23632DiVA, id: diva2:1042708
Conference
Twenty-First Conference on Innovative Applications of Artificial Intelligence (IAAI'09)
Projects
Camp
Note

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence (IAAI'09) published by IEEE Computer Society

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-12-01Bibliographically approved

Open Access in DiVA

fulltext(657 kB)2174 downloads
File information
File name FULLTEXT01.pdfFile size 657 kBChecksum SHA-512
7c3e016715d1a38d883ef774f6ebe6fc7be1610de3d19b4622fd41e7f2a4654790e5bd6c527e887c43502bf7d1a2969f7d869d8b8d11a7eae72ebbd477333cae
Type fulltextMimetype application/pdf

Other links

http

Authority records

Bohlin, MarkusKreuger, PerSteinert, Rebecca

Search in DiVA

By author/editor
Bohlin, MarkusKreuger, PerSteinert, Rebecca
By organisation
SICSSICSDecisions, Networks and Analytics lab
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 2176 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: 117 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