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浏览/检索结果: 共10条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings 期刊论文 Mechanical Systems and Signal Processing, 2019, 卷号: 122, 页码: 692-706 作者:  Yang, Bin;  Lei, Yaguo;  Jia, Feng;  Xing, Saibo 收藏  |  浏览/下载：23/0  |  提交时间：2019/11/19 Convolutional neural network  Domain adaptation  Intelligent fault diagnosis  Rolling Element Bearing  Transfer learning   Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines with Unlabeled Data 期刊论文 IEEE Transactions on Industrial Electronics, 2018 作者:  Guo, Liang;  Lei, Yaguo;  Xing, Saibo;  Yan, Tao;  Li, Naipeng 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26 bearing  Convolution  Convolutional neural network  Fault diagnosis  Feature extraction  intelligent fault diagnosis  Learning systems  Probability distribution  Testing  Training  Transfer learning   Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 110, 页码: 349-367 作者:  Jia, Feng;  Lei, Yaguo;  Lu, Na;  Xing, Saibo 收藏  |  浏览/下载：14/0  |  提交时间：2019/11/26 Convolutional neural network  Deep learning  Imbalanced classification  Intelligent fault diagnosis  Visualization   Opportunities and Challenges of Machinery Intelligent Fault Diagnosis in Big Data Era 期刊论文 Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2018, 卷号: 54, 页码: 94-104 作者:  Lei, Yaguo;  Jia, Feng;  Kong, Detong;  Lin, Jing;  Xing, Saibo 收藏  |  浏览/下载：11/0  |  提交时间：2019/11/26 Comprehensive analysis  Fault feature extractions  Generalization ability  High sampling frequencies  Intelligent fault diagnosis  Long-time operation  Mechanical equipment  Shallow diagnosis   A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines 期刊论文 NEUROCOMPUTING, 2018, 卷号: 272, 页码: 619-628 作者:  Jia, Feng;  Lei, Yaguo;  Guo, Liang;  Lin, Jing;  Xing, Saibo 收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26 Deep learning  Intelligent fault diagnosis  Local connection network  Normalized sparse autoencoder   Deep convolution feature learning for health indicator construction of bearings 会议论文 作者:  Guo, Liang;  Lei, Yaguo;  Li, Naipeng;  Xing, Saibo 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26 health indicator construction  feature learning  convolution neural netwrok  bearing   Intelligent Fault Diagnosis of Rotating Machinery Using Locally Connected Restricted Boltzmann Machine in Big Data Era 会议论文 作者:  Xing, Saibo;  Lei, Yaguo;  Jia, Feng;  Lin, Jing 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Unsupervised feature learning  rotating machinery  locally connected restricted Boltzmann machine  intelligent fault diagnosis   An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 卷号: 63, 期号: [db:dc_citation_issue], 页码: 3137-3147 作者:  Lei, Yaguo;  Jia, Feng;  Lin, Jing;  Xing, Saibo;  Ding, Steven X. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 mechanical big data  softmax regression  unsupervised feature learning  sparse filtering  Intelligent fault diagnosis   A Method of Automatic Feature Extraction from Massive Vibration Signals of Machines 会议论文 作者:  Jia, Feng;  Lei, Yaguo;  Xing, Saibo;  Lin, Jing 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02 k-means  automatic feature extraction  t-SNE  intelligent fault diagnosis   A Nonlinear Degradation Model Based Method for Remaining Useful Life Prediction of Rolling Element Bearings 会议论文 作者:  Lei, Yaguo;  Li, Naipeng;  Jia, Feng;  Lin, Jing;  Xing, Saibo 收藏  |  浏览/下载：11/0  |  提交时间：2019/12/02 Kalman particle filtering  nonlinear degradation model  remaining useful life prediction  rolling element bearings