Electromechanical impedance-based damage identification enhancement using bistable and adaptive piezoelectric circuitry
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA
Funder
National Science Foundation
Publisher
SAGE Publications
Subject
Mechanical Engineering,Biophysics
Link
http://journals.sagepub.com/doi/pdf/10.1177/1475921718794202
Reference54 articles.
1. Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward
2. Structural health monitoring using piezoelectric impedance measurements
3. Structural Health Monitoring of Composite Structures with Piezoelectric-Wafer Active Sensors
4. Electromechanical impedance of piezoelectric transducers for monitoring metallic and non-metallic structures: A review of wired, wireless and energy-harvesting methods
5. Improving Accessibility of the Impedance-Based Structural Health Monitoring Method
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