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Design of Smart Sensing Functions Using Piezoelectric Materials for Failure Diagnostics

[+] Author Affiliations
Pingfeng Wang, Zequn Wang

Wichita State University, Wichita, KS

Byeng D. Youn

Seoul National University, Seoul, Korea

Soobum Lee

University of Maryland, Baltimore County, Baltimore, MD

Paper No. DETC2014-34550, pp. V02AT03A038; 13 pages
doi:10.1115/DETC2014-34550
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 2A: 40th Design Automation Conference
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4631-5
  • Copyright © 2014 by ASME

abstract

This 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 various 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. Two engineering case studies are employed to demonstrate the effectiveness of the design framework in developing multifunctional material sensing systems.

Copyright © 2014 by ASME

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