Electromechanical (E/M) impedance method is emerging as an effective and powerful technique for structural health monitoring. The E/M impedance method utilizes as its main apparatus an impedance analyzer that reads the in-situ E/M impedance of piezoelectric wafer active sensors (PWAS) attached to the monitored structure. Laboratory-type impedance analyzers (e.g. HP4194) are bulky, heavy, and expensive. They cannot be easily carried into the field for on-site structural health monitoring. To address this issue, means of to reduce the size of the impedance analyzer making the impedance analyzer more compact and field-portable are explored. In this paper, we present a systematic approach to the development of a field-portable small-size impedance analyzer for structural health monitoring using the electromechanical impedance technique. Our approach consists of several developmental stages. First, we perform a simulation of the E/M Impedance technique and develop the software tools for analyzing the signal in a fast and efficient way while maintaining the desired accuracy. The objective of this signal processing part is to obtain the complex impedance, ZR+iZI)=|Z| angle arg Z, at a number of frequencies in a predetermined range. Several signal processing methods were explored such as: (a) integration method; (b) correlation method; (c) Discrete Fourier transform (DFT) method. Second, we discuss the hardware issues associated with the implementation of this approach. The hardware system architecture consists of several blocks: (a) reference signal generation; (b) voltage and current measurements; and (c) digital signal acquisition and processing. Practical results obtained during proof-of-concept experiments are presented and comparatively examined.
[1]
Jerome P. Lynch,et al.
The Development of a Wireless Modular Health Monitoring System for Civil Structures
,
2001
.
[2]
N. J. Evans,et al.
Recent advances in electrochemical impedance measurement
,
1994,
Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[3]
C. De Vera,et al.
Embedded Self-Sensing Piezoelectric for Damage Detection
,
1998
.
[4]
K. Darowicki,et al.
Continuous‐Frequency Method of Measurement of Electrode Impedance
,
2003
.
[5]
Daniel J. Inman.
Smart Materials in Damage Detection and Prognosis
,
2003
.
[6]
Gary W. Johnson.
LabVIEW Power Programming
,
1998
.
[7]
Hoon Sohn,et al.
Structural health monitoring using wireless sensing systems with embedded processing
,
2002,
SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[8]
Daniel J. Inman,et al.
Improving Accessibility of the Impedance-Based Structural Health Monitoring Method
,
2004
.
[9]
W. Kenan,et al.
Impedance Spectroscopy: Emphasizing Solid Materials and Systems
,
1987
.
[10]
Hoon Sohn,et al.
Overview of Piezoelectric Impedance-Based Health Monitoring and Path Forward
,
2003
.