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Sensors 2009, 9(3), 1394-1408; doi:10.3390/s90301394

Robust Design of SAW Gas Sensors by Taguchi Dynamic Method

1
Department of Biosystems Engineering, National Pingtung University of Science and Technology. Hseuh Fu Road, Neipu Hsiang, Pingtung, 91207, Taiwan, R.O.C.
2
Department of Mechanical Engineering, National Pingtung University of Science and Technology. Hseuh Fu Road, Neipu Hsiang, Pingtung, 91207, Taiwan, R.O.C.
*
Author to whom correspondence should be addressed.
Received: 31 December 2008 / Revised: 23 February 2009 / Accepted: 27 February 2009 / Published: 27 February 2009
(This article belongs to the Special Issue Piezoelectric Sensors for Determination of Analytes in Solutions)
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Abstract

This paper adopts Taguchi’s signal-to-noise ratio analysis to optimize the dynamic characteristics of a SAW gas sensor system whose output response is linearly related to the input signal. The goal of the present dynamic characteristics study is to increase the sensitivity of the measurement system while simultaneously reducing its variability. A time- and cost-efficient finite element analysis method is utilized to investigate the effects of the deposited mass upon the resonant frequency output of the SAW biosensor. The results show that the proposed methodology not only reduces the design cost but also promotes the performance of the sensors.
Keywords: Surface Acoustic Wave (SAW); Finite Element Method (FEM); Dynamic Taguchi Method; Signal-to-Noise ratio Surface Acoustic Wave (SAW); Finite Element Method (FEM); Dynamic Taguchi Method; Signal-to-Noise ratio
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Tsai, H.-H.; Wu, D.H.; Chiang, T.-L.; Chen, H.H. Robust Design of SAW Gas Sensors by Taguchi Dynamic Method. Sensors 2009, 9, 1394-1408.

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