Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE 62nd Annual Reliability and Maintainability Symposium, RAMS 2016 |
| Place of Publication | USA |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Print) | 978-1-5090-0248-1 |
| DOIs | |
| State | Published - Jan 2016 |
| Event | IEEE 62nd Annual Reliability and Maintainability Symposium - Phoenix, United States |
Publication series
| Name | |
|---|---|
| Publisher | IEEE |
Conference
| Conference | IEEE 62nd Annual Reliability and Maintainability Symposium |
|---|---|
| Abbreviated title | RAMS 2016 |
| Country | United States |
| City | Phoenix |
| Period | 25/01/16 → 28/01/16 |
| Internet address |
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Keywords
- repairable systems
- EWI-26747
- METIS-315562
- Maintenance
- Fault Tree Analysis
- IR-99367
Cite this
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Fault maintenance trees: reliability centered maintenance via statistical model checking. / Ruijters, Enno Jozef Johannes; Guck, Dennis; Drolenga, Peter; Stoelinga, Mariëlle Ida Antoinette.
Proceedings of the IEEE 62nd Annual Reliability and Maintainability Symposium, RAMS 2016. USA : IEEE, 2016.Research output: Scientific - peer-review › Conference contribution
TY - CHAP
T1 - Fault maintenance trees: reliability centered maintenance via statistical model checking
AU - Ruijters,Enno Jozef Johannes
AU - Guck,Dennis
AU - Drolenga,Peter
AU - Stoelinga,Mariëlle Ida Antoinette
N1 - eemcs-eprint-26747
PY - 2016/1
Y1 - 2016/1
N2 - 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.
AB - 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.
KW - repairable systems
KW - EWI-26747
KW - METIS-315562
KW - Maintenance
KW - Fault Tree Analysis
KW - IR-99367
U2 - 10.1109/RAMS.2016.7447986
DO - 10.1109/RAMS.2016.7447986
M3 - Conference contribution
SN - 978-1-5090-0248-1
BT - Proceedings of the IEEE 62nd Annual Reliability and Maintainability Symposium, RAMS 2016
PB - IEEE
ER -