Abstract
The current trend in infrastructural asset management is towards risk-based (a.k.a. reliability centered) maintenance, promising better performance at lower cost. By maintaining crucial components more intensively than less important ones, dependability increases while costs decrease.
This requires good insight into the effect of maintenance on the dependability and associated costs. To gain these insights, we propose a novel framework that integrates fault tree analysis with maintenance. We support a wide range of maintenance procedures and dependability measures, including the system reliability, availability, mean time to failure, as well as the maintenance and failure costs over time, split into different cost components.
Technically, our framework is realized via statistical model checking, a state-of-the-art tool for flexible modelling and simulation. Our compositional approach is flexible and extendible. We deploy our framework to two cases from industrial practice: insulated joints, and train compressors.
Original language | English |
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Title of host publication | Proceedings of the IEEE 62nd Annual Reliability and Maintainability Symposium, RAMS 2016 |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Print) | 978-1-5090-0248-1, 978-1-5090-0249-8 |
DOIs | |
Publication status | Published - Jan 2016 |
Event | IEEE 62nd Annual Reliability and Maintainability Symposium - Phoenix, United States Duration: 25 Jan 2016 → 28 Jan 2016 Conference number: 62 http://www.asq0707.org/event/rams-2016-62nd-annual-reliability-maintainability-symposium/ |
Conference
Conference | IEEE 62nd Annual Reliability and Maintainability Symposium |
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Abbreviated title | RAMS 2016 |
Country/Territory | United States |
City | Phoenix |
Period | 25/01/16 → 28/01/16 |
Internet address |
Keywords
- Repairable systems
- Maintenance
- Fault tree analysis