Time-frequency diagram applied to stability analysis in gas metal arc welding based on acoustic emission

  1. MacÍas, E.J. 1
  2. Roca, A.S. 2
  3. Fals, H.C. 2
  4. Fernández, J.B. 1
  5. De La Parte, M.P. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  2. 2 Universidad de Oriente - Santiago de Cuba
    info

    Universidad de Oriente - Santiago de Cuba

    Santiago de Cuba, Cuba

    ROR https://ror.org/03kqap970

Revista:
Science and Technology of Welding and Joining

ISSN: 1362-1718

Ano de publicación: 2010

Volume: 15

Número: 3

Páxinas: 226-232

Tipo: Artigo

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DOI: 10.1179/136217110X12665778348588 SCOPUS: 2-s2.0-77952375737 WoS: WOS:000277162500007 GOOGLE SCHOLAR

Outras publicacións en: Science and Technology of Welding and Joining

Obxectivos de Desenvolvemento Sustentable

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Utilización de técnicas de inteligencia artificial y emisión acústica para la optimización del proceso automatizado de soldadura y análisis de estabilidad

2007/00080/001

Resumo

Time-frequency diagram is applied to estimating the stability of gas metal arc welding process. A methodology has been developed to obtain indexes based on image processing of the spectrogram in order to evaluate the relationship between the spectrogram and the stability of process. The acoustic emission (AE) signals have been processed and characterised to obtain the spectrogram of the acoustic signals generated by arc. Statistical analysis of image generated by spectrogram and temporal parameters of AE signals has been used as a tool to obtain a method for stability evaluation. As a main result of the research, it demonstrates the effectiveness of the application of image processing of the time-frequency diagram for evaluating the stability in the welding processes. The results demonstrate the validity of this method to characterise the stability using the image characterisation. © 2010 Institute of Materials, Minerals and Mining.