Paper
11 June 2002 Health monitoring of aging aerospace structures using the electromechanical impedance method
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Abstract
This paper describes the use of the electro-mechanical (E/M) impedance method for health monitoring of aging aerospace structures. As a nondestructive evaluation technology, the E/M impedance method allows us to identify the structural dynamics directly by obtaining the E/M impedance signatures of attached piezoelectric wafer active sensors (PWAS). The theoretical model for 2-D structures, which predicts the E/M impedance response at PWAS terminals, was developed and validated. The model accounts for axial and flexural vibrations of a host structure and considers both, structural dynamics and dynamics of the sensor. The study of sensor's sensitivity to structural damage is presented. The presence of damage modifies the E/M impedance spectrum causing frequency shifts, peak splitting and appearance of new harmonics. The overall-statistics damage metrics and probabilistic neural network (PNN) were used to classify data according to damage severity. When installed on the aging aircraft panel, the sensors response features: (a) in the near field, spectral baseline change; (b) in the medium field, changes in harmonics distribution. These effects were successfully captured with overall-statistics damage metrics (correlation coefficient deviation) and PNN respectively. The health monitoring of aging aerospace specimens shows that unobtrusive permanently attached PWAS in conjunction with E/M impedance method can be successfully used to assess the presence of incipient damage through the examination and classification of the E/M impedance spectra.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrei N. Zagrai and Victor Giurgiutiu "Health monitoring of aging aerospace structures using the electromechanical impedance method", Proc. SPIE 4702, Smart Nondestructive Evaluation for Health Monitoring of Structural and Biological Systems, (11 June 2002); https://doi.org/10.1117/12.469888
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Cited by 14 scholarly publications.
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KEYWORDS
Sensors

Near field

Ferroelectric materials

Active sensors

Charge-coupled devices

Aerospace engineering

Feature extraction

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