{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:27:37Z","timestamp":1740202057483,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"abstract":"<jats:p>In this paper a statistical based methodology to work over the principal component space on injection moulds is presented. The Multiway Principal Component Analysis is applied as a dimensionality reduction step, and fault detection assessment. This methodology allowed to analyse the behaviour of injections with the information directly received from sensors, what ended in a better process understanding. Results concluded that with a low number of variables (some principal components and two control statistics) is enough to detect abnormalities (too short injections, injections with low variability, etc.).<\/jats:p>","DOI":"10.3233\/978-1-58603-925-7-236","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:27:05Z","timestamp":1740133625000},"source":"Crossref","is-referenced-by-count":0,"title":["Statistical Monitoring of Injection Moulds"],"prefix":"10.3233","author":[{"family":"Berjaga Xavier","sequence":"additional","affiliation":[]},{"family":"Melendez Joaquim","sequence":"additional","affiliation":[]},{"family":"Pallares Alvaro","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Artificial Intelligence Research and Development"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T11:07:09Z","timestamp":1740136029000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISSNISBN&issn=0922-6389&volume=184&spage=236"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-58603-925-7-236","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2008]]}}}