咨询与建议

限定检索结果

文献类型

  • 49 篇 会议
  • 40 篇 期刊文献

馆藏范围

  • 89 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 27 篇 理学
    • 20 篇 数学
    • 11 篇 统计学(可授理学、...
    • 5 篇 化学
    • 4 篇 系统科学
    • 2 篇 物理学
    • 1 篇 地质学
    • 1 篇 生物学
  • 27 篇 工学
    • 14 篇 计算机科学与技术...
    • 13 篇 控制科学与工程
    • 10 篇 软件工程
    • 7 篇 化学工程与技术
    • 4 篇 机械工程
    • 2 篇 光学工程
    • 2 篇 冶金工程
    • 2 篇 电子科学与技术(可...
    • 2 篇 信息与通信工程
    • 1 篇 动力工程及工程热...
    • 1 篇 电气工程
    • 1 篇 纺织科学与工程
  • 15 篇 管理学
    • 14 篇 管理科学与工程(可...
    • 1 篇 图书情报与档案管...
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 农学
  • 1 篇 医学
    • 1 篇 药学(可授医学、理...
  • 1 篇 军事学
    • 1 篇 军队指挥学

主题

  • 22 篇 process control
  • 16 篇 fault detection
  • 15 篇 neural networks
  • 14 篇 chemical analysi...
  • 13 篇 chemical technol...
  • 11 篇 statistical anal...
  • 10 篇 predictive model...
  • 9 篇 manufacturing pr...
  • 9 篇 inductors
  • 8 篇 optimal control
  • 7 篇 statistical proc...
  • 7 篇 process monitori...
  • 6 篇 chemical process...
  • 5 篇 training data
  • 5 篇 monitoring
  • 5 篇 chemical enginee...
  • 5 篇 polymers
  • 4 篇 fault diagnosis
  • 4 篇 performance moni...
  • 4 篇 biotechnology

机构

  • 15 篇 centre for proce...
  • 8 篇 centre for proce...
  • 6 篇 centre for proce...
  • 6 篇 centre for proce...
  • 3 篇 centre for proce...
  • 3 篇 centre for proce...
  • 3 篇 centre for proce...
  • 3 篇 centre for proce...
  • 2 篇 centre for proce...
  • 2 篇 centre for proce...
  • 2 篇 centre for proce...
  • 2 篇 centre for proce...
  • 2 篇 genzyme ltd. hol...
  • 2 篇 centre for proce...
  • 2 篇 centre for proce...
  • 2 篇 centre for proce...
  • 1 篇 department of pu...
  • 1 篇 centre for proce...
  • 1 篇 centre for proce...
  • 1 篇 centre for proce...

作者

  • 19 篇 e.b. martin
  • 18 篇 a.j. morris
  • 17 篇 jie zhang
  • 16 篇 morris julian
  • 16 篇 julian morris
  • 8 篇 martin e.b.
  • 8 篇 elaine martin
  • 8 篇 morris a.j.
  • 7 篇 martin elaine
  • 5 篇 j. morris
  • 4 篇 martin elaine b.
  • 4 篇 elaine b. martin
  • 3 篇 ahmed alawi
  • 3 篇 j. zhang
  • 3 篇 zhang jie
  • 3 篇 zhihua xiong
  • 3 篇 alison nordon
  • 3 篇 alawi ahmed
  • 3 篇 s. kumar
  • 2 篇 z. ahmad

语言

  • 89 篇 英文
检索条件"机构=Centre for Process Analytics and Control Technology"
89 条 记 录,以下是81-90 订阅
排序:
Confidence limits for contribution plots
Confidence limits for contribution plots
收藏 引用
作者: Conlin, A.K. Martin, E.B. Morris, A.J. Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne NE1 7RU United Kingdom
An issue often raised in multivariate statistical process control, when using statistical projection-based techniques to define nominal process behaviour, is that of the assured identification of the variables causing... 详细信息
来源: 评论
Dynamic Non-Linear PLS Modelling
收藏 引用
IFAC Proceedings Volumes 2000年 第10期33卷 159-164页
作者: G. Baffi E.B. Martin A.J. Morris Centre for Process Analytics and Control Technology Merz Court University of Newcastle Newcastle upon Tyne NE1 7RU United Kingdom
Projection to Latent Structures (PLS) is a linear regression technique for nondynamic problems where the data is noisy, highly correlated and where there are a limited number of observations. Methodologies have been p... 详细信息
来源: 评论
Data Filtering and Statistical process Modeling
收藏 引用
Tsinghua Science and technology 2000年 第2期5卷 193-200页
作者: 王京春 金以慧 Department of Automation Tsinghua University Beijing 100084 China Foresight Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne NEI 7RU UK
A new filtering method is presented which extends the SureShrink algorithm by eliminating the peak noise in the wavelet transformed signal to improve the overall filtering properties. Data from industrial plants alway... 详细信息
来源: 评论
Canonical Correlation Analysis in process Fault Detection
收藏 引用
IFAC Proceedings Volumes 2000年 第11期33卷 1011-1016页
作者: A. Simoglou E.B. Martin A.J. Morris Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne. NE1 7RU. UK Tel: +44 191 222 5789 Fax: +44 191 222 5748
Principal Component Analysis and Partial Least Squares have been used extensively for Multivariate Statistical process control (MSPC) with increasing numbers of applications in the chemical manufacturing industries. I... 详细信息
来源: 评论
control of Semi-Continuous processes by Mass Resampling
收藏 引用
IFAC Proceedings Volumes 2000年 第11期33卷 599-604页
作者: A. Bettoni E.B. Martin A.J. Morris Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne. NE1 7RU. UK Tel: +44 191 222 5789 Fax: +44 191 222 5748
An industrial ethylene propylene rubber compounding process is used to illustrate some of the issues that arise in the monitoring of the manufacturing performance of a process comprising both batch and continuous unit... 详细信息
来源: 评论
On the Statistical process control of Multivariate Autocorrelated processes
收藏 引用
IFAC Proceedings Volumes 2000年 第10期33卷 165-170页
作者: E. Kaskavelis E.B. Martin A.J. Morris P. Jonathan Centre for Process Analytics and Control Technology Merz Court University of Newcastle NE1 7RU UK Statistical Services Shell Global Solutions Cheshire Innovation Park P.O. Box 1 Chester UK
This paper examines how the dynamic information present in a multivariate set of data can be used to improve the performance of a monitoring scheme of the multivariate mean. Optimum performance of such a scheme requir... 详细信息
来源: 评论
A comparison of canonical variate analysis and partial least squares for the identification of dynamic processes
A comparison of canonical variate analysis and partial least...
收藏 引用
American control Conference (ACC)
作者: A. Simoglou E.B. Martin A.J. Morris Centre for Process Analytics and Control Technology University of Newcastle UK
This study contributes to the comparison of partial least squares (PLS) and canonical variate analysis (CVA) for the identification of dynamic systems. Two model forms, autoregressive with exogenous inputs and state s... 详细信息
来源: 评论
Multiple Sensor Disturbance Identification through Principal Component Analysis
收藏 引用
IFAC Proceedings Volumes 1999年 第2期32卷 7653-7658页
作者: F. Jia E.B. Martin A.J. Morris Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne NE1 7RU England
Previous publications have focused upon the application of principal components analysis (PCA) for sensor fault identification through data reconstruction. These reconstruction based methods do not address the problem... 详细信息
来源: 评论
Monitoring of Multi-Product processes
收藏 引用
IFAC Proceedings Volumes 1999年 第2期32卷 6698-6703页
作者: S. Lane E.B. Martin A.J. Morris R.A.G. Kooijmans Centre for Process Analytics and Control Technology University of Newcastle Newcastle upon Tyne NE1 7RU England Unilever Research Vlaardingen PO BOX 114 31310 AC Vlaardingen The Netherlands Fax Number +44 191 222 5748
Traditionally Principal Components Analysis (PCA) has been viewed as a single group method and in particular, in multivariate statistical performance monitoring (MSPM), it has been used as a monitoring and diagnostic ... 详细信息
来源: 评论