{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T00:43:53Z","timestamp":1777077833708,"version":"3.51.4"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643683263","type":"print"},{"value":"9781643683270","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T00:00:00Z","timestamp":1665964800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,17]]},"abstract":"<jats:p>Data-Driven Predictive Quality solutions are of utmost importance for Industry 4.0 in general and for high added value and complex manufacturing systems in particular. A unique Friction Stir Welding process is performed for the manufacturing of the new Ariane 6 aerospace launchers. This work presents a novel feature engineering approach that correlates Friction Stir Welding process data and quality inspection data to build a Machine Learning-based predictive quality solution. This solution predicts the presence of welding defects, empowering end-user\u2019s quality assurance and reducing quality inspection time and associated costs.<\/jats:p>","DOI":"10.3233\/faia220330","type":"book-chapter","created":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T12:25:47Z","timestamp":1666009547000},"source":"Crossref","is-referenced-by-count":1,"title":["Feature Engineering and Machine Learning Predictive Quality Models for Friction Stir Welding Defect Prediction in Aerospace Applications"],"prefix":"10.3233","author":[{"given":"Marta","family":"Camps","sequence":"first","affiliation":[{"name":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, Unit of Applied Artificial Intelligence, Av. Carrer de Bilbao, 72, 08005 Barcelona, Spain"}]},{"given":"Maddi","family":"Etxegarai","sequence":"additional","affiliation":[{"name":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, Unit of Applied Artificial Intelligence, Av. Carrer de Bilbao, 72, 08005 Barcelona, Spain"}]},{"given":"Francesc","family":"Bonada","sequence":"additional","affiliation":[{"name":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, Unit of Applied Artificial Intelligence, Av. Carrer de Bilbao, 72, 08005 Barcelona, Spain"}]},{"given":"William","family":"Lacheny","sequence":"additional","affiliation":[{"name":"Ariane Group, 51\/61 route de Verneuil, B\u00e2timent 71 \u2013 Bureau 142, 78131 \u2013 Les Mureaux \u2013 France"}]},{"given":"Sylvain","family":"Pauleau","sequence":"additional","affiliation":[{"name":"Ariane Group, 51\/61 route de Verneuil, B\u00e2timent 71 \u2013 Bureau 142, 78131 \u2013 Les Mureaux \u2013 France"}]},{"given":"Xavier","family":"Domingo","sequence":"additional","affiliation":[{"name":"Eurecat, Centre Tecnol\u00f2gic de Catalunya, Unit of Applied Artificial Intelligence, Av. Carrer de Bilbao, 72, 08005 Barcelona, Spain"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,17]],"date-time":"2022-10-17T12:26:00Z","timestamp":1666009560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220330"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,17]]},"ISBN":["9781643683263","9781643683270"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220330","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,17]]}}}