Maintenance of a multi-component dynamic system under partial observations

Simple item page
dc.contributorPh.D. Program in Industrial Engineering.
dc.contributor.advisorBilgiç, Taner,
dc.contributor.authorÜnlüakın, Demet Özgür.
dc.date.accessioned2023-03-16T10:35:16Z
dc.date.available2023-03-16T10:35:16Z
dc.date.issued2008.
dc.description.abstractThis thesis studies the maintenance of a dynamic system consisting of several components which age in time at a given failure rate. The states of the components are hidden. In each decision epoch, the decision of whether replacing a component or doing nothing is to be made. The major difference of this problem from the other main- tenance problems is its complex structure due to many components. Two versions of the maintenance problem are studied. In the first one, it is possible to estimate the re- liability of the whole system. The aim is to find a minimal maintenance cost given that the reliability of the system should always be above a predetermined threshold value. In the second problem, partial observations, i.e., signals related with the components are observed in each time period. The next observation may have an associated cost to the decision maker. This problem is a partially observed Markov decision process (POMDP). Dynamic Bayesian networks (DBNs) are proposed as a solution to the first prob- lem. Four heuristic approaches are presented to select the component to be replaced. A hierarchical heuristic solution procedure is proposed to solve the second problem. An aggregate model is developed by aggregating states and actions so that it can be solved with exact POMDP solvers. Disaggregation is done by simulating the process with a DBN and applying troubleshooting approaches in the decision epochs where replacement is planned in the aggregate policy.
dc.format.extent30cm.
dc.format.pagesxvi, 127 leaves;
dc.identifier.otherIE 2008 U55 PhD
dc.identifier.urihttps://digitalarchive.library.bogazici.edu.tr/handle/123456789/13534
dc.publisherThesis (Ph.D.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2008.
dc.relationIncludes appendices.
dc.relationIncludes appendices.
dc.subject.lcshBayesian statistical decision theory.
dc.subject.lcshMarkov processes.
dc.subject.lcshReliability (Engineering)
dc.titleMaintenance of a multi-component dynamic system under partial observations

Files

Original bundle
Now showing 1 - 4 of 4
Thumbnail Image
Name:
b1485907.002283.001.PDF
Size:
723.5 KB
Format:
Adobe Portable Document Format
Download
No Thumbnail Available
Name:
b1485907.002284.001.zip
Size:
214.04 MB
Format:
ZIP archive
Description:
Download
No Thumbnail Available
Name:
b1485907.002285.001.zip
Size:
76.74 KB
Format:
ZIP archive
Description:
Download
No Thumbnail Available
Name:
b1485907.002286.001.TXT
Size:
6.64 KB
Format:
Plain Text
Download

Collections

Ph.D. Theses