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浏览/检索结果: 共11条，第1-10条 帮助 限定条件 专题：山东大学    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 Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis 期刊论文 JOURNAL OF PROCESS CONTROL, 2019, 卷号: 77, 页码: 7-19 作者:  Shang, Jun;  Zhou, Donghua;  Chen, Maoyin;  Ji, Hongquan;  Zhang, Hanwen 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/11 Fault detection  Fault isolation  Incipient sensor fault  Conditionally  independent Bayesian learning  Recursive transformed component  statistical analysis   Predicting remaining useful life based on a generalized degradation with fractional Brownian motion 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 115, 页码: 736-752 作者:  Zhang, Hanwen;  Zhou, Donghua;  Chen, Maoyin;  Xi, Xiaopeng 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/11 Remaining useful life  Age- and state-dependence  Long-range dependence  Fractional Brownian motion  First passage time   FBM-Based Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence and Multiple Modes 期刊论文 IEEE TRANSACTIONS ON RELIABILITY, 2019, 卷号: 68, 期号: 3, 页码: 1021-1033 作者:  Zhang, Hanwen;  Zhou, Donghua;  Chen, Maoyin;  Shang, Jun 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/11 Continuous-time Markov chain (CTMC)  fractional Brownian motion (FBM)  long-range dependence  multiple modes degradation process  remaining  useful life (RUL)   Remaining useful life prediction for a nonlinear multi-degradation system with public noise 期刊论文 JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2018, 卷号: 29, 期号: 2, 页码: 429-435 作者:  Zhang Hanwen;  Chen Maoyin;  Zhou Donghua 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/11 remaining useful life (RUL)  multi-degradation system  public noise  nonlinear degradation process   Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme 期刊论文 CONTROL ENGINEERING PRACTICE, 2018, 卷号: 77, 页码: 190-200 作者:  Shang, Jun;  Chen, Maoyin;  Zhang, Hanwen;  Ji, Hongquan;  Zhou, Donghua 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/11 Multivariate statistical process monitoring  Abnormality detection  Blast furnace iron-making process  Recursive transformed component  statistical analysis   An improved non-Markovian degradation model with long-term dependency and item-to-item uncertainty 期刊论文 MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 卷号: 105, 页码: 467-480 作者:  Xi, Xiaopeng;  Chen, Maoyin;  Zhang, Hanwen;  Zhou, Donghua 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/11 Remaining useful life  Non-Markovian diffusion process  Fractional  Brownian motion  Maximum likelihood  Weak convergence   Remaining Useful Life Prediction for Degradation Processes With Long-Range Dependence 期刊论文 IEEE TRANSACTIONS ON RELIABILITY, 2017, 卷号: 66, 期号: 4, 页码: 1368-1379 作者:  Zhang, Hanwen;  Chen, Maoyin;  Xi, Xiaopeng;  Zhou, Donghua 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/12 Fractional Brownian motion (FBM)  long-range dependence  remaining  useful life (RUL)  weak convergence   Remaining Useful Life Prediction for Nonlinear Degrading Systems with Maintenance 会议论文 2017 Prognostics and System Health Management Conference (PHM-Harbin), JUL 09-12, 2017 作者:  Zhang, Hanwen;  Chen, Maoyin;  Zhou, Donghua 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 Remaining useful life  maintenance  continuous time Markov chain  first  hitting time   Remaining useful life prediction for nonlinear degrading systems with maintenance 会议论文 8th IEEE Prognostics and System Health Management Conference, PHM-Harbin 2017, July 9, 2017 - July 12, 2017 作者:  Zhang, Hanwen;  Chen, Maoyin;  Zhou, Donghua 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Predicting Remaining Useful Life for a Multi-Component System with Public Noise 会议论文 Prognostics and System Health Management Conference (PHM-Chengdu), OCT 19-21, 2016 作者:  Zhang, Hanwen;  Chen, Maoyin;  Zhou, Donghua 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 remaining useful life prediction  multi-component system  public noise  hidden degradation processes