Information Generative Bayesian Adversarial Networks: A Representation Learning Model for Transmission Gear Parameters
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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