Paper
29 July 2004 Feasibility study of a self-powered piezoelectric sensor
Tsz-Ho Ng, Wei-Hsin Liao
Author Affiliations +
Abstract
Sensors play a crucial role in structural systems with the concern of reliability/failure issues. The development of wireless monitoring systems has been of great interest because wireless transmission has been proven as a convenient means to transmit signals while minimizing the use of many long wires. However, the wireless transmission systems need sufficient power to function properly. Conventionally, batteries are used as the power sources of the remote sensing systems. However, due to their limited lifetime, replacement of batteries has to be carried out periodically, which is inconvenient. In recent years, piezoelectric materials have been developed as sensing and actuating devices mostly, and power generators in some cases. In this paper, a self-powered piezoelectric sensor is studied, in which one piece of piezoelectric material will be simultaneously used as a sensor and a power generator under vibration environment. Concurrent design with piezoelectric materials in sensor and power generator is integrated with energy storage device. We evaluate sensing and power generating abilities individually, and then their concurrent sensing and energy harvesting performances. The possibilities of the piezoelectric sensor to power wireless transmission systems are discussed. Experimental efforts are carried out to study the feasibility of the self-powered piezoelectric sensor system.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tsz-Ho Ng and Wei-Hsin Liao "Feasibility study of a self-powered piezoelectric sensor", Proc. SPIE 5389, Smart Structures and Materials 2004: Smart Electronics, MEMS, BioMEMS, and Nanotechnology, (29 July 2004); https://doi.org/10.1117/12.539706
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CITATIONS
Cited by 36 scholarly publications.
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KEYWORDS
Sensors

Capacitors

Chromium

Resistors

Sensor networks

Electronics

Remote sensing

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