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Authors: Eija Haapalainen ; Perttu Laurinen ; Heli Junno ; Lauri Tuovinen and Juha Röning

Affiliation: University of Oulu, Finland

ISBN: 978-972-8865-59-7

Keyword(s): Feature selection, process identification, k-nearest neighbour classifier, resistance spot welding.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Expert Systems ; Health Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning in Control Applications ; Symbolic Systems

Abstract: Process identification in the field of resistance spot welding can be used to improve welding quality and to speed up the set-up of a new welding process. Previously, good classification results of welding processes have been obtained using a feature set consisting of 54 features extracted from current and voltage signals recorded during welding. In this study, the usability of the individual features is evaluated and various feature selection methods are tested to find an optimal feature subset to be used in classification. Ways are sought to further improve classification accuracy by discarding features containing less classification-relevant information. The use of a small feature set is profitable in that it facilitates both feature extraction and classification. It is discovered that the classification of welding processes can be performed using a substantially reduced feature set. In addition, careful selection of the features used also improves classification accuracy. In concl usion, selection of the feature subset to be used in classification notably improves the performance of the spot welding process identification system. (More)

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Paper citation in several formats:
Haapalainen E.; Laurinen P.; Junno H.; Tuovinen L.; Röning J. and (2006). FEATURE SELECTION FOR IDENTIFICATION OF SPOT WELDING PROCESSES.In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 978-972-8865-59-7, pages 40-46. DOI: 10.5220/0001209100400046

@conference{icinco06,
author={Eija Haapalainen and Perttu Laurinen and Heli Junno and Lauri Tuovinen and Juha Röning},
title={FEATURE SELECTION FOR IDENTIFICATION OF SPOT WELDING PROCESSES},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2006},
pages={40-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001209100400046},
isbn={978-972-8865-59-7},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - FEATURE SELECTION FOR IDENTIFICATION OF SPOT WELDING PROCESSES
SN - 978-972-8865-59-7
AU - Haapalainen, E.
AU - Laurinen, P.
AU - Junno, H.
AU - Tuovinen, L.
AU - Röning, J.
PY - 2006
SP - 40
EP - 46
DO - 10.5220/0001209100400046

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