QQ客服 官方微博 反馈留言

浏览/检索结果: 共10条，第1-10条 帮助 限定条件 内容类型：期刊论文    专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     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 Switching State-Space Degradation Model With Recursive Filter/Smoother for Prognostics of Remaining Useful Life 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 页码: 822-832 作者:  Peng, Yizhen;  Wang, Yu;  Zi, Yanyang 收藏  |  浏览/下载：14/0  |  提交时间：2019/11/19 remaining useful life (RUL)  switching state-space model  prognostics  rao-blackwellized particle filter (RBPF)  Degradation   An Adaptive Prognostic Approach Incorporating Inspection Influence for Deteriorating Systems 期刊论文 IEEE Transactions on Reliability, 2019, 卷号: 68, 页码: 302-316 作者:  Zhang, Zheng-Xin;  Si, Xiao-Sheng;  Hu, Chang-Hua;  Hu, Xiao-Xiang;  Sun, Guo-Xi 收藏  |  浏览/下载：18/0  |  提交时间：2019/11/19 Adaptation models  Degradation  Degradation modeling  Estimation  expectation maximization (EM) algorithm  first hitting time (FHT)  Gyroscopes  Inspection  Monte Carlo simulation  remaining useful life (RUL)  Schedules  Stress  Wiener process   Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process 期刊论文 RELIABILITY ENGINEERING & SYSTEM SAFETY, 2019, 卷号: 185, 页码: 372-382 作者:  Chen Jinglong;  Jing Hongjie;  Chang Yuanhong;  Liu Qian 收藏  |  浏览/下载：14/0  |  提交时间：2019/11/19 Nonlinear deterioration  RUL prediction  Recurrent neural network  PHM   Machinery health prognostics: A systematic review from data acquisition to RUL prediction 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 104, 页码: 799-834 作者:  Lei, Yaguo;  Li, Naipeng;  Guo, Liang;  Li, Ningbo;  Yan, Tao 收藏  |  浏览/下载：12/0  |  提交时间：2019/11/26 Data acquisition  Health indicator construction  Health stage division  Machinery prognostics  Remaining useful life prediction   Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 页码: 5709-5718 作者:  Li, Naipeng;  Lei, Yaguo;  Guo, Liang;  Yan, Tao;  Lin, Jing 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Degradation process simulation (DPS)  remaining useful life (RUL) prediction  sequential Monte Carlo  stochastic process model   A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2016, 卷号: 12, 期号: [db:dc_citation_issue], 页码: 924-932 作者:  Wang, Yu;  Peng, Yizhen;  Zi, Yanyang;  Jin, Xiaohang;  Tsui, Kwok-Leung 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/02 prognostics  Kalman filter (KF)  remaining useful life (RUL) estimation  Degradation   Anomaly Detection and Fault Prognosis for Bearings 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2016, 卷号: 65, 期号: [db:dc_citation_issue], 页码: 2046-2054 作者:  Jin, Xiaohang;  Sun, Yi;  Que, Zijun;  Wang, Yu;  Chow, Tommy W. S. 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/02 bearing  vibrational signal  Anomaly detection  extended Kalman filter (EKF)  remaining useful life (RUL)  fault prognosis   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   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:   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   An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: [db:dc_citation_issue], 页码: 7762-7773 作者:  Li, Naipeng;  Lei, Yaguo;  Lin, Jing;  Ding, Steven X. 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/02 rolling element bearings  remaining useful life (RUL) prediction  particle filtering (PF)  first predicting time (FPT)  Exponential model