A Framework for System Design Optimization Based on Maintenance Scheduling With Prognostics and Health Management
Name
v03at03a035-detc2013-12514.pdf
Size
1.33 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Sharqawy, Mostafa H.
Yu, Bo Yang
Honda, Tomonori
Zubair, Syed M.
Yang, Maria
Date Issued
August 2013
Journal
Volume 3A: 39th Design Automation Conference
Publisher
ASME International
Citation
Yu, Bo Yang, Tomonori Honda, Syed Zubair, Mostafa H. Sharqawy, and Maria C. Yang. “A Framework for System Design Optimization Based on Maintenance Scheduling With Prognostics and Health Management.” Volume 3A: 39th Design Automation Conference (August 4, 2013).
Version
Final published version
Abstract
The optimal maintenance scheduling of systems with degrading components is highly coupled with the design of the system and various uncertainties associated with the system, including the operating conditions, the interaction of different degradation profiles of various system components, and the ability to measure and predict degradation using prognostics and health management (PHM) technologies. Due to this complexity, designers need to understand the correlations and feedback between the design variables and lifecycle parameters to make optimal decisions. A framework is proposed for the high level integration of design, component degradation, and maintenance decisions. The framework includes constructing screening models for rapid design evaluation, defining a multi-objective robust optimization problem, and using sensitivity studies to compare trade-offs between different design and maintenance strategies. A case example of power plant condenser is used to illustrate the proposed framework and advise how designers can make informed comparisons between different design concepts and maintenance strategies under highly uncertain lifecycle conditions.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Engineering Systems Division
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1115/DETC2013-12514
