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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 发表日期：2016     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 MACHINE REMAINING USEFUL LIFE PREDICTION USING A MONTE CARLO SIMULATION METHOD 会议论文 作者:  Yaguo Lei;  Naipeng Li;  Jing Lin;  Ningbo Li 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 machinery  Monte Carlo simulation  numerical approximation  Remaining useful life prediction  stochastic process model   Stochastic resonance subject to multiplicative and additive noise: The influence of potential asymmetries 期刊论文 PHYSICAL REVIEW E, 2016, 卷号: 94, 期号: [db:dc_citation_issue] 作者:  Qiao, Zijian;  Lei, Yaguo;  Lin, Jing;  Niu, Shantao 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02 A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 卷号: 65, 期号: [db:dc_citation_issue], 页码: 2671-2684 作者:  Lei, Yaguo;  Li, Naipeng;  Lin, Jing 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 Condition-based maintenance (CBM)  stochastic process model  remaining useful life (RUL) prediction  Kalman particle filtering (PF)  machinery   Phenomenological models of vibration signals for condition monitoring and fault diagnosis of epicyclic gearboxes 期刊论文 JOURNAL OF SOUND AND VIBRATION, 2016, 卷号: 369, 期号: [db:dc_citation_issue], 页码: 266-281 作者:  Lei, Yaguo;  Liu, Zongyao;  Lin, Jing;  Lu, Fanbo 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 A relevance vector machine prediction method based on adaptive multi-kernel combination and its application to remaining useful life prediction of machinery 期刊论文 Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2016, 卷号: 52, 期号: [db:dc_citation_issue], 页码: 87-93 作者:  Lei, Yaguo;  Chen, Wu;  Li, Naipeng;  Lin, Jing 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02 Iterative process  Prediction accuracy  Prediction methods  Prediction process  Regularization parameters  Relevance Vector Machine  Remaining useful life predictions  Simulation studies   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   Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 卷号: 72-73, 期号: [db:dc_citation_issue], 页码: 303-315 作者:  Jia, Feng 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Deep neural networks  Deep learning  Massive data  Rotating machinery  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 new dynamic model of planetary gear sets and research on fault response characteristics 期刊论文 Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2016, 卷号: 52, 期号: [db:dc_citation_issue], 页码: 111-122 作者:  Lei, Yaguo;  Luo, Xi;  Liu, Zongyao;  Lu, Fanbo;  Lin, Jing 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 Health monitoring  Planetary gear sets  Planetary gearboxes  Time-varying effects  Time-varying mesh stiffness  Transmission paths  Transmission structures  Vibration response   A Model-Based Method for Remaining Useful Life Prediction of Machinery 期刊论文 IEEE TRANSACTIONS ON RELIABILITY, 2016, 卷号: 65, 期号: [db:dc_citation_issue], 页码: 1314-1326 作者:  Lei, Yaguo;  Li, Naipeng;  Gontarz, Szymon;  Lin, Jing;  Radkowski, Stanislaw 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 particle filtering  parameter initialization  Health indicator  remaining useful life (RUL) prediction