Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots
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TL;DR: In this article , a multiscale convolutional capsule network (MCCN) is proposed to learn discriminative features from the attitude data collected by the attitude sensor.
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About: This article is published in Mechanical Systems and Signal Processing. The article was published on 01 Jan 2023. and is currently open access. The article focuses on the topics: Convolutional neural network & Discriminative model.
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