QQ客服 官方微博 反馈留言

浏览/检索结果: 共3条，第1-3条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 Fault Classification Method of Rolling Bearing Based on Cloud Theory and ReliefHF 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 4, 页码: 667-672 作者:  Ma, Sencai;  Zhao, Rongzhen;  Wu, Yaochun;  DENG, Linfeng 收藏  |  浏览/下载：11/0  |  提交时间：2022/02/17 Knowledge based systems  Classification accuracy  Classification methods  Cloud classification  Cloud distributions  Fault classification  Noise resistance  Rolling bearings  Weight coefficients   Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network 期刊论文 Applied Intelligence, 2021, 卷号: 51, 期号: 4, 页码: 2144-2160 作者:  Wu, Yaochun;  Zhao, Rongzhen;  Jin, Wuyin;  He, Tianjing;  Ma, Sencai 收藏  |  浏览/下载：3/0  |  提交时间：2021/06/03 Convolution  Deep learning  Failure analysis  Fault detection  Learning systems  Roller bearings  Semi-supervised learning  Vibration analysis  Class probabilities  Diagnosis performance  Intelligent fault diagnosis  Inter-class distance  Learning methods  Maximum margin criterions  Rolling bearings  Vibration signal   Rolling Bearing Fault Diagnosis Using a Deep Convolutional Autoencoding Network and Improved Gustafson-Kessel Clustering 期刊论文 Shock and Vibration, 2020, 卷号: 2020 作者:  Wu, Yaochun;  Zhao, Rongzhen;  Jin, Wuyin;  Deng, Linfeng;  He, Tianjing 收藏  |  浏览/下载：9/0  |  提交时间：2022/02/18 Clustering algorithms  Convolution  Convolutional neural networks  Deep learning  Deep neural networks  Failure analysis  Roller bearings  Stochastic systems