QQ客服 官方微博 反馈留言

浏览/检索结果: 共28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 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   Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process 期刊论文 CONTROL ENGINEERING PRACTICE, 2019, 卷号: 89, 页码: 94-102 作者:  Huang, Keke;  Wen, Haofei;  Ji, Hongquan;  Cen, Lihui;  Chen, Xiaofang 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/16 Nonlinear process  Process monitoring  Kernel dictionary learning  Fault  isolation   Incipient sensor fault isolation based on augmented Mahalanobis distance 期刊论文 CONTROL ENGINEERING PRACTICE, 2019, 卷号: 86, 页码: 144-154 作者:  Ji, Hongquan;  Huang, Keke;  Zhou, Donghua 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/11 Statistical process monitoring (SPM)  Incipient fault  Fault detection  and isolation  Augmented Mahalanobis distance (AMD)  Contribution  analysis   Generalized grouped contributions for hierarchical fault diagnosis with group Lasso 期刊论文 Control Engineering Practice, 2019, 卷号: 93 作者:  Shang, Chao;  Ji, Hongquan;  Huang, Xiaolin;  Yang, Fan;  Huang, Dexian 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/11 Fault diagnosis  Group Lasso  Grouped variable selection  Industrial alarm systems  Multivariate statistical process monitoring   Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process 期刊论文 NEUROCOMPUTING, 2019, 卷号: 332, 页码: 305-319 作者:  Yang, Chunhua;  Zhou, Longfei;  Huang, Keke;  Ji, Hongquan;  Long, Cheng 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/11 Multimode process monitoring  Outliers  Unsupervised learning  Robust  dictionary learning  Aluminum electrolysis process   Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process 期刊论文 Neurocomputing, 2019, 卷号: Vol.332, 页码: 305-319 作者:  Chunhua Yang;  Longfei Zhou;  Keke Huang;  Hongquan Ji;  Cheng Long 收藏  |  浏览/下载：10/0  |  提交时间：2019/12/13 Multimode  process  monitoring  Outliers  Unsupervised  learning  Robust  dictionary  learning  Aluminum  electrolysis  process   Smoothed Fisher discriminant analysis for incipient fault diagnosis 会议论文 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 20, 2018 - October 23, 2018 作者:  Ji, Hongquan;  Wang, Youqing;  Chen, Zhiwen 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/31 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   Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units 期刊论文 IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 卷号: 26, 期号: 5, 页码: 1744-1757 作者:  Zhou, Donghua;  Ji, Hongquan;  He, Xiao;  Shang, Jun 收藏  |  浏览/下载：8/0  |  提交时间：2019/12/11 Brake cylinder system  braking process  electric multiple unit (EMU)  fault detection and isolation (FDI)  high-speed train  intervariable  variance (IVV)   Exponential Smoothing Reconstruction Approach for Incipient Fault Isolation 期刊论文 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 卷号: 57, 期号: 18, 页码: 6353-6363 作者:  Ji, Hongquan;  He, Xiao;  Shang, Jun;  Zhou, Donghua 收藏  |  浏览/下载：7/0  |  提交时间：2019/12/11