Next Article in Journal
Titanium and Ruthenium Phthalocyanines for NO2 Sensors: A Mini-Review
Previous Article in Journal
Automatic Roof Plane Detection and Analysis in Airborne Lidar Point Clouds for Solar Potential Assessment
Article Menu

Export Article

Open AccessArticle
Sensors 2009, 9(7), 5263-5276;

Use of the Plasma Spectrum RMS Signal for Arc-Welding Diagnostics

Photonics Engineering Group, Universidad de Cantabria, Santander E39005, Spain
ITP (Industria de Turbo Propulsores S.A), Parque Tecnológico de Bizcaia Kanala Bidea, Edificio 300, 48170 Zamudio (Bizkaia), Spain
ROBOTIKER-Tecnalia. Parque Tecnológico Edif. 202, 48170 Zamudio (Bizkaia), Spain
Author to whom correspondence should be addressed.
Received: 31 May 2009 / Revised: 29 June 2009 / Accepted: 3 July 2009 / Published: 3 July 2009
(This article belongs to the Section Chemical Sensors)
Full-Text   |   PDF [635 KB, uploaded 21 June 2014]   |  


A new spectroscopic parameter is used in this paper for on-line arc-welding quality monitoring. Plasma spectroscopy applied to welding diagnostics has typically relied on the estimation of the plasma electronic temperature, as there is a known correlation between this parameter and the quality of the seams. However, the practical use of this parameter gives rise to some uncertainties that could provoke ambiguous results. For an efficient on-line welding monitoring system, it is essential to prevent the appearance of false alarms, as well as to detect all the possible defects. In this regard, we propose the use of the root mean square signal of the welding plasma spectra, as this parameter will be proven to exhibit a good correlation with the quality of the resulting seams. Results corresponding to several arc-welding field tests performed on Inconel and titanium specimens will be discussed and compared to non-destructive evaluation techniques. View Full-Text
Keywords: plasma spectroscopy; on-line monitoring; arc-welding; fiber sensor; RMS signal plasma spectroscopy; on-line monitoring; arc-welding; fiber sensor; RMS signal

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Mirapeix, J.; Cobo, A.; Fuentes, J.; Davila, M.; Etayo, J.M.; Lopez-Higuera, J.-M. Use of the Plasma Spectrum RMS Signal for Arc-Welding Diagnostics. Sensors 2009, 9, 5263-5276.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top