TY - JOUR A1 - Boersch, Ingo A1 - Füssel, Uwe A1 - Gresch, Christoph A1 - Großmann, Christoph A1 - Hoffmann, Benjamin ED - London, Springer T1 - Data mining in resistance spot welding - A non-destructive method to predict the welding spot diameter by monitoring process parameters JF - The International Journal of Advanced Manufacturing Technology N2 - Resistance spot welding is the dominant process in the present mass production of steel constructions without sealing requirements with single sheet thicknesses up to 3 mm. Two of the main applications of resistance spot welding are the automobile and the railway vehicle manufacturing industry. The majority of these connections has safety-related character and therefore they must not fall below a certain weld diameter. Since resistance spot welding has been established, this weld diameter has been usually used as the gold standard. Despite intensive efforts, there has not been found yet a reliable method to detect this connection quality non-destructively. Considerable amounts of money and steel sheets are wasted on making sure that the process does not result in faulty joints. The indication of the weld diameter by in-process monitoring in a reliable way would allow the quality documentation of joints during the welding process and additionally lead through demand-actuated milling cycles to a substantial decrease of electrode consumption. An annual, estimated reduction in the seven- to nine-figure range could be achieved. It has an important impact, because the economics of the process is essentially characterized by the electrode caps (Klages 24). We propose a simple and straightforward approach using data mining techniques to accurately predict the weld diameter from recorded data during the welding process. In this paper, we describe the methods used during data preprocessing and segmentation, feature extraction and selection, and model creation and validation. We achieve promising results during an analysis of more than 3000 classified welds using a model tree as a predictor with a success rate of 93 %. In the future, we hope to validate our model with unseen welding data and implement it in a real world application. KW - Resistance spot welding KW - Electrode life prognosis KW - Data mining KW - Feature extraction KW - Model selection Y1 - 2016 UR - http://link.springer.com/article/10.1007/s00170-016-9847-y U6 - https://doi.org/10.1007/s00170-016-9847-y ER - TY - CHAP A1 - Müller, Sebastian A1 - Gregor, Max A1 - van Rüschen, Raoul A1 - Rico, Wildenhein A1 - Creutzburg, Reiner A1 - Kindsmüller, Martin Christof ED - Creutzburg, Reiner T1 - MultiMo: A Multimodal University Evaluation Software Designed for High Response Rates and Usability T2 - Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2016 : IS & T International Symposium on Electronic Imaging Science and Technology 2016 : San Francisco, California, USA, 14-18 February 2016 Y1 - 2016 SN - 978-1-5108-4600-5 PB - Curran Associates, Inc. CY - Red Hook, NY ER - TY - JOUR A1 - Meister, Vera G. A1 - Jetschni, Jonas T1 - Prototypical Implementation of a Decentralized Semantic-Web-based Information System for Specific Study Programs JF - Studia ekonomiczne : zeszyty naukowe Uniwersytetu Ekonomicznego w Katowicach Y1 - 2016 UR - https://www.ue.katowice.pl/fileadmin/user_upload/wydawnictwo/SE_Artyku%C5%82y_291_320/SE_296/01.pdf SN - 2083-8611 IS - 296.2016 PB - Wydawn. Univ. Ekonomicznego w Katowicach CY - Katowice ER - TY - JOUR A1 - Kell, Gerald A1 - Schulz, Daniel A1 - Mrkor, Kai-Uwe T1 - Application of IHP’s SiGe-Technology for very fast data processing JF - Activity Report 2016 / Europactice Y1 - 2016 UR - http://www.europractice-ic.com/docs/europractice_jv2016.pdf SP - 41 EP - 42 ER - TY - CHAP A1 - Burow, Stephan A1 - Johannsen, Andreas T1 - Multi-level reference architecture development for digital public infrastructures based on the cloud T2 - Digital Enterprise Computing (DEC 2016) : June 14-15, 2016 : Böblingen, Germany Y1 - 2016 UR - https://dl.gi.de/handle/20.500.12116/959 SN - 978-3-88579-652-7 SP - 127 EP - 136 PB - Gesellschaft für Informatik e.V. (GI) CY - Bonn ER -