Artificial Neural Network and the Taguchi Method Application for Robust Wheatstone Bridge Design

Author

Jung eui Hong
Cihan H. Dagll, Missouri University of Science and TechnologyFollow
Kenneth M. Ragsdell, Missouri University of Science and TechnologyFollow

Abstract

The primary function of the Wheatstone bridge is to measure an unknown resistance. The elements of this well-known measurement circuit will take on different values depending upon the range and accuracy required for a particular application. The Taguchi approach to parameter design is used to select values for the measurement circuit elements so as to reduce measurement error. Next we introduce the use of an artificial neural network to extrapolate limited experimental results to predict system response over a wide range of applications. This approach can be employed for on-line quality control of the manufacture of such device.

Recommended Citation

J. e. Hong et al., "Artificial Neural Network and the Taguchi Method Application for Robust Wheatstone Bridge Design," American Society of Mechanical Engineers, Design Engineering Division (Publication) DE, vol. 69 thru 2, pp. 37 - 41, Dec 1994.

Department(s)

Engineering Management and Systems Engineering

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 The Authors, All rights reserved.

Publication Date

01 Dec 1994