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Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks
dc.contributor.author | De Groote, Wannes | |
dc.contributor.author | Van Hoecke, Sofie | |
dc.contributor.author | Crevecoeur, Guillaume | |
dc.date.accessioned | 2021-11-02T15:56:02Z | |
dc.date.available | 2021-11-02T15:56:02Z | |
dc.date.issued | 2022-MAR 1 | |
dc.identifier.issn | 0888-3270 | |
dc.identifier.other | WOS:000704795700007 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/37481 | |
dc.source | WOS | |
dc.title | Prediction of follower jumps in cam-follower mechanisms: The benefit of using physics-inspired features in recurrent neural networks | |
dc.type | Journal article | |
dc.contributor.imecauthor | Van Hoecke, Sofie | |
dc.contributor.orcidimec | Van Hoecke, Sofie::0000-0002-7865-6793 | |
dc.identifier.doi | 10.1016/j.ymssp.2021.108453 | |
dc.source.numberofpages | 20 | |
dc.source.peerreview | yes | |
dc.source.journal | MECHANICAL SYSTEMS AND SIGNAL PROCESSING | |
dc.source.volume | 166 | |
imec.availability | Under review |
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