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contributor authorWu, Jiaxin
contributor authorWang, Pingfeng
date accessioned2019-09-18T09:05:54Z
date available2019-09-18T09:05:54Z
date copyright4/15/2019 12:00:00 AM
date issued2019
identifier issn2332-9017
identifier otherrisk_005_02_020902
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258830
description abstractManaging potential disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies, thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.
publisherAmerican Society of Mechanical Engineers (ASME)
titleA Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience
typeJournal Paper
journal volume5
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
identifier doi10.1115/1.4042829
journal fristpage20902
journal lastpage020902-11
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering:;2019:;volume( 005 ):;issue:002
contenttypeFulltext


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