A new processing method for SAW resonator torque response signal

C. Xu*, Y. Zhang, S. Zhou, X. Zhao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The response signal is of narrow band, high frequency, low SNR (Signal to Noise Ratio) and transient attenuation. Torque applied to the shaft can be acquired from changes of the center frequency. The resolution of FFT (Fast Fourier Transform) method is limited by sampling length. MLE (Maximum Likelihood Estimate) or LSE (Least Square Estimate) is time-consuming. In this paper, GA (Genetic algorithm) is employed to estimate parameters of the sensing signal. Before GA, response signal is simplified by Hilbert envelope-demodulation. After demodulation, the resonance frequency can be obtained directly in time domain by GA. Results indicate this method estimates the frequency more accurately.

Original languageEnglish
Title of host publicationReview of Progress in Quantitative Nondestructive Evaluation
Pages589-596
Number of pages8
DOIs
Publication statusPublished - 2011
Event37th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE - San Diego, CA, United States
Duration: 18 Jul 201023 Jul 2010

Publication series

NameAIP Conference Proceedings
Volume1335
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference37th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE
Country/TerritoryUnited States
CitySan Diego, CA
Period18/07/1023/07/10

Keywords

  • Genetic Algorithm
  • Passive
  • SAW
  • Torque Sensor

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