Acoustic emission Bayesian source location: Onset time challenge

Madarshahian, Ramin; Ziehl, Paul; Caicedo, Juan M.

doi:10.1016/j.ymssp.2019.01.021

Title: Acoustic emission Bayesian source location: Onset time challenge

Full Record
Other Related Research

Authors:

;

; Caicedo, Juan M.

Publication Date:: 2019-05-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1547824

Grant/Contract Number:: NE0008544

Resource Type:: Journal Article: Publisher's Accepted Manuscript

Journal Name:: Mechanical Systems and Signal Processing

Additional Journal Information:: Journal Name: Mechanical Systems and Signal Processing Journal Volume: 123 Journal Issue: C; Journal ID: ISSN 0888-3270

Publisher:: Elsevier

Country of Publication:: United Kingdom

Language:: English

Citation Formats


                    Madarshahian, Ramin, Ziehl, Paul, and Caicedo, Juan M. Acoustic emission Bayesian source location: Onset time challenge.  United Kingdom: N. p., 2019. 
        Web.  doi:10.1016/j.ymssp.2019.01.021.

Copy to clipboard


                    Madarshahian, Ramin, Ziehl, Paul, & Caicedo, Juan M. Acoustic emission Bayesian source location: Onset time challenge.  United Kingdom.  https://doi.org/10.1016/j.ymssp.2019.01.021

Copy to clipboard


                    Madarshahian, Ramin, Ziehl, Paul, and Caicedo, Juan M. 2019.  
        "Acoustic emission Bayesian source location: Onset time challenge".  United Kingdom.  https://doi.org/10.1016/j.ymssp.2019.01.021.

Copy to clipboard


                    
@article{osti_1547824,

  title        = {Acoustic emission Bayesian source location: Onset time challenge},

  author       = {Madarshahian, Ramin and Ziehl, Paul and Caicedo, Juan M.},

  abstractNote = {},

  doi          = {10.1016/j.ymssp.2019.01.021},

  url          = {https://www.osti.gov/biblio/1547824},
  journal      = {Mechanical Systems and Signal Processing},

  issn         = {0888-3270},

  number       = C,

  volume       = 123,

  place        = {United Kingdom},

  year         = {2019},

  month        = {5}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record at https://doi.org/10.1016/j.ymssp.2019.01.021

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 8 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Acoustic emission Bayesian source location: Onset time challenge

Journal Article Madarshahian, Ramin; Ziehl, Paul; Caicedo, Juan - Mechanical Systems and Signal Processing

Not provided.
https://doi.org/10.1016/j.ymssp.2019.01.021
Determination of arrival times for acoustic emission source location in composites

Conference Hamstad, M

The determination of the arrival time of an AE event has been studied using simulated acoustic emission (AE) signals on a Kevlar/epoxy composite. Transient recorder records were used to study the AE waveforms as well as the background electronic noise. Parameters studied include the bandpass and the relative position of the sensor with respect to the source position. The rise of the AE signal out of the background electronic noise was studied in detail by measuring the amplitude of each ''half-cycle'' of the analog signal both before the arrival of the AE event and for the first part of themore »« less
Continuous wavelet transform analysis and modal location analysis acoustic emission source location for nuclear piping crack growth monitoring

Journal Article Mohd, Shukri; Holford, Karen; Pullin, Rhys - AIP Conference Proceedings

Source location is an important feature of acoustic emission (AE) damage monitoring in nuclear piping. The ability to accurately locate sources can assist in source characterisation and early warning of failure. This paper describe the development of a novelAE source location technique termed 'Wavelet Transform analysis and Modal Location (WTML)' based on Lamb wave theory and time-frequency analysis that can be used for global monitoring of plate like steel structures. Source location was performed on a steel pipe of 1500 mm long and 220 mm outer diameter with nominal thickness of 5 mm under a planar location test setup usingmore »« less
https://doi.org/10.1063/1.4866105
Bayesian Source Location using Seismic and Acoustic observations.

Conference Koch, Clinton; Arrowsmith, Stephen

Abstract not provided.
Full Text Available
Acoustic Emission Source Location in Unidirectional Carbon-Fibre-Reinforced Plastic Plates Using Virtually Trained Artificial Neural Networks

Journal Article Caprino, G; Lopresto, V; Leone, C; ... - AIP Conference Proceedings

Acoustic emission source location in a unidirectional carbon-fibre-reinforced plastic plate was attempted employing Artificial Neural Network (ANN) technology. The acoustic emission events were produced by a lead break, and the response wave received by piezoelectric sensors, type VS150-M resonant at 150 kHz. The waves were detected by a Vallen AMSY4 eight-channel instrumentation. The time of arrival, determined through the conventional threshold crossing technique, was used to measure the dependence of wave velocity on fibre orientation. A simple empirical formula, relying on classical lamination and suggested by wave propagation theory, was able to accurately model the experimental trend. Based on themore »« less
https://doi.org/10.1063/1.3455565

Similar Records