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dc.contributor.authorWang, Zequn
dc.contributor.authorWang, Pingfeng
dc.date.accessioned2014-01-21T18:17:33Z
dc.date.available2014-01-21T18:17:33Z
dc.date.issued2014-01-17
dc.identifier.citationZequn Wang, Pingfeng Wang. Probabilistic design of smart sensing functions for failure diagnostics and prognostics. AIAA Guidance, Navigation, and Control Conference, 13-17 of January 2014, National Harbor, Maryland, http://dx.doi.org/10.2514/6.2014-0482.
dc.identifier.otherAIAA 2014-0482
dc.identifier.urihttp://dx.doi.org/10.2514/6.2014-0482
dc.identifier.urihttp://hdl.handle.net/10057/7000
dc.descriptionPaper submitted to the AIAA Guidance, Navigation, and Control Conference held at Gaylord National Resort & Convention Center, National Harbor (Maryland), 13-17 of January 2014.
dc.descriptionClick on the DOI link to access this article (may not be free.)
dc.description.abstractThis paper presents a robust design framework to develop piezoelectric materials based structural sensing systems for failure diagnostics and prognostics. At first, a detectability measure is proposed to evaluate the performance of any given sensing system given varioaus uncertainties. Thus, the censoring system design problem can be formulated to maximize the detectability of the censoring system through optimally allocating piezoelectric materials into a target structural system. Secondly, the formulated problem can be conveniently solved using reliability-based robust design framework to ensure design robustness while considering the uncertainties. A rectangular plate is employed to demonstrate the effectiveness of the design framework in developing multifunctional material sensing systems.
dc.language.isoen_US
dc.publisherAmerican Institute for Aeronautics and Astronautics, Inc.
dc.relation.ispartofseriesAIAA Guidance, Navigation, and Control Conference: 13-17 of January 2014, National Harbor (Maryland).
dc.titleProbabilistic design of smart sensing functions for failure diagnostics and prognostics
dc.typeConference paper
dc.rights.holderCopyright 2014 by the American Institute of Aeronautics and Astronautics, Inc.


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