TY - GEN
T1 - A framework for system design optimization based on maintenance scheduling with prognostics and health management
AU - Yu, Bo Yang
AU - Honda, Tomonori
AU - Zubair, Syed
AU - Sharqawy, Mostafa H.
AU - Yang, Maria C.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84896989946
U2 - 10.1115/DETC2013-12514
DO - 10.1115/DETC2013-12514
M3 - Conference contribution
AN - SCOPUS:84896989946
SN - 9780791855881
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 39th Design Automation Conference
PB - American Society of Mechanical Engineers
ER -