Information Generative Bayesian Adversarial Networks: A Representation Learning Model for Transmission Gear Parameters
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2019.2935350
Abstract: Representation learning of transmission gear parameters has been a challenging industrial problem due to its difficulty in learning the inherence of gear data with high dimension and coupling characteristics. To solve this issue, this article… read more here.
Keywords: representation; gear parameters; representation learning; transmission gear ... See more keywords
Grinding Temperature and Surface Integrity of Quenched Automotive Transmission Gear during the Form Grinding Process
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DOI: 10.3390/ma15217723
Abstract: Grinding burn is an undesired defect in gear machining, and a white layer is an indication of severe burn that is detrimental to gear surface performance. In this work, the influence of grinding parameters on… read more here.
Keywords: layer; surface; white layer; form grinding ... See more keywords