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Detection of Welding Process Instabilities Using Acoustic Signals

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Advances in Technical Diagnostics (ICTD 2016)

Part of the book series: Applied Condition Monitoring ((ACM,volume 10))

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Abstract

This work deals with problems related to the monitoring of welding process. This is an important issue, especially from the point of view of operation of automated welding systems. One of the sources of diagnostic information about welding process is sound. The sound generated during the welding process includes acoustic audible and inaudible parts. In this paper, the author focused on analysis of a ultrasound part of acoustic energy emitted during welding. Acoustic signals were collected during a few series of experiments conducted in laboratory conditions. The signals were gathered using a condenser microphone with measurement range 20–100 kHz. The acquired signals were high-pass filtered and processed using statistical measures such as RMS, IQR (Interquartile range) and Kurtosis, in order to detect welding instabilities. The best detection results obtained for signals in band 40–60 kHz was obtained with use of IQR parameter. These findings confirm the usefulness of ultrasound signals for detection of welding faults.

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Authors and Affiliations

  1. Institute of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Gliwice, Poland

    Marek Fidali

Authors
  1. Marek Fidali
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Correspondence to Marek Fidali .

Editor information

Editors and Affiliations

  1. Faculty of Transport, Sielsian University of Technology, Gliwice, Poland

    Anna Timofiejczuk

  2. Faculty of Transport, Sielsian University of Technology, Gliwice, Poland

    Bogusław Edward Łazarz

  3. National School of Engineers of Sfax, Sfax, Tunisia

    Fakher Chaari

  4. Faculty of Transport, Sielsian University of Technology, Gliwice, Poland

    Rafał Burdzik

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Fidali, M. (2018). Detection of Welding Process Instabilities Using Acoustic Signals. In: Timofiejczuk, A., Łazarz, B.E., Chaari, F., Burdzik, R. (eds) Advances in Technical Diagnostics. ICTD 2016. Applied Condition Monitoring, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-62042-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-62042-8_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62041-1

  • Online ISBN: 978-3-319-62042-8

  • eBook Packages: EngineeringEngineering (R0)

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