{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:41:31Z","timestamp":1660520491149},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T00:00:00Z","timestamp":1660089600000},"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":[[2022,8,10]]},"abstract":"<jats:p>Wear is an important factor that determines the normal functioning of high-speed transmission. This study aimed to analyze the stress distribution of high-speed transmission using finite element software and the principle of wear reliability. The weak parts where the stress was concentrated were identified. Tests were performed under different conditions using a uniform design. Thus, the major factors influencing the wear prediction model were identified as surface hardness of material, load, and sliding velocity. A mathematical model for wear prediction was then established using the partial least squares method. Experimental verification was performed, and the high precision of the prediction model was confirmed.<\/jats:p>","DOI":"10.3233\/faia220119","type":"book-chapter","created":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:03Z","timestamp":1660519323000},"source":"Crossref","is-referenced-by-count":0,"title":["Analysis of the Wear Mechanism of High-Speed Transmission and the Prediction Model"],"prefix":"10.3233","author":[{"given":"Jin","family":"Chen","sequence":"first","affiliation":[{"name":"College of Mechatronics Engineering, North University of China, Taiyuan, 030051, China"}]},{"given":"Jun","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Mechatronics Engineering, North University of China, Taiyuan, 030051, China"}]},{"given":"Guowei","family":"Yu","sequence":"additional","affiliation":[{"name":"North Huaan Industry Group CO.LTD, Qiqihaer, 161000, China"}]},{"given":"Qiqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"North Huaan Industry Group CO.LTD, Qiqihaer, 161000, China"}]},{"given":"Hongtao","family":"Zhang","sequence":"additional","affiliation":[{"name":"North Huaan Industry Group CO.LTD, Qiqihaer, 161000, China"}]},{"given":"Dongzhi","family":"Zhao","sequence":"additional","affiliation":[{"name":"North Huaan Industry Group CO.LTD, Qiqihaer, 161000, China"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Modern Management based on Big Data III"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA220119","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,14]],"date-time":"2022-08-14T23:22:05Z","timestamp":1660519325000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA220119"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,10]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia220119","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,10]]}}}