Signal processing methods for in-situ creep specimen monitoring

Manton J. Guers, Bernhard R. Tittmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Previous work investigated using guided waves for monitoring creep deformation during accelerated life testing. The basic objective was to relate observed changes in the time-of-flight to changes in the environmental temperature and specimen gage length. The work presented in this paper investigated several signal processing strategies for possible application in the in-situ monitoring system. Signal processing methods for both group velocity (wave-packet envelope) and phase velocity (peak tracking) time-of-flight were considered. Although the Analytic Envelope found via the Hilbert transform is commonly applied for group velocity measurements, erratic behavior in the indicated time-of-flight was observed when this technique was applied to the in-situ data. The peak tracking strategies tested had generally linear trends, and tracking local minima in the raw waveform ultimately showed the most consistent results.

Original languageEnglish (US)
Title of host publication44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37
EditorsDale E. Chimenti, Leonard J. Bond
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735416444
DOIs
StatePublished - Apr 20 2018
Event44th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2017 - Provo, United States
Duration: Jul 16 2017Jul 21 2017

Publication series

NameAIP Conference Proceedings
Volume1949
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other44th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2017
CountryUnited States
CityProvo
Period7/16/177/21/17

Fingerprint

signal processing
group velocity
envelopes
velocity measurement
phase velocity
wave packets
ambient temperature
waveforms
trends

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Guers, M. J., & Tittmann, B. R. (2018). Signal processing methods for in-situ creep specimen monitoring. In D. E. Chimenti, & L. J. Bond (Eds.), 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37 [100005] (AIP Conference Proceedings; Vol. 1949). American Institute of Physics Inc.. https://doi.org/10.1063/1.5031578
Guers, Manton J. ; Tittmann, Bernhard R. / Signal processing methods for in-situ creep specimen monitoring. 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37. editor / Dale E. Chimenti ; Leonard J. Bond. American Institute of Physics Inc., 2018. (AIP Conference Proceedings).
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Guers, MJ & Tittmann, BR 2018, Signal processing methods for in-situ creep specimen monitoring. in DE Chimenti & LJ Bond (eds), 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37., 100005, AIP Conference Proceedings, vol. 1949, American Institute of Physics Inc., 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, QNDE 2017, Provo, United States, 7/16/17. https://doi.org/10.1063/1.5031578

Signal processing methods for in-situ creep specimen monitoring. / Guers, Manton J.; Tittmann, Bernhard R.

44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37. ed. / Dale E. Chimenti; Leonard J. Bond. American Institute of Physics Inc., 2018. 100005 (AIP Conference Proceedings; Vol. 1949).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Guers MJ, Tittmann BR. Signal processing methods for in-situ creep specimen monitoring. In Chimenti DE, Bond LJ, editors, 44th Annual Review of Progress in Quantitative Nondestructive Evaluation, Volume 37. American Institute of Physics Inc. 2018. 100005. (AIP Conference Proceedings). https://doi.org/10.1063/1.5031578