A Quality Inspection System for Resistance Seam Welds in Endless Production of Steel Coils Using Anomaly Detection Techniques

Julio Molleda, Juan C. Granda, Rubén Usamentiaga, Daniel F. García, David Laurenson

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

Abstract

Endless strip generation is the key to productivity and quality in several types of steel coil production lines. Coil-to-coil joining by means of welding machines provides such a strip. Since the joint is the weakest area of the strip, its quality must be assessed in order for the production line to accept it. Therefore, it is necessary to inspect the quality of the weld in the welding-cycle time. Based on our knowledge acquired in the previous development of quality assessment prototypes for steel strips, we present in this paper an improved inspection system to detect defective resistance seam welds based on anomaly detection techniques. This system does not rely on the weld classifications done in production lines based on welding control programs. Therefore, it is immune to the influence of both incorrectly configured welding control programs and chemical composition variations from coil to coil of the same steel grade. Tuning the inspection system required a fully experimental design which would have taken several months in a conventional computer. For this reason, the high-performance computing facilities at the Edinburgh Parallel Computing Center were used to cut down the tuning time.
Original languageEnglish
Title of host publication2012 IEEE Industry Applications Society Annual Meeting (IAS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-8
Number of pages8
DOIs
Publication statusPublished - 2012
EventIndustry Applications Society Annual Meeting (IAS) - Las Vegas, United States
Duration: 7 Oct 201211 Oct 2012

Publication series

NameConference Record of the IEEE Industry Applications Conference
ISSN (Print)0197-2618

Conference

ConferenceIndustry Applications Society Annual Meeting (IAS)
Country/TerritoryUnited States
CityLas Vegas
Period7/10/1211/10/12

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