咨询与建议

限定检索结果

文献类型

  • 227 篇 期刊文献
  • 32 篇 会议
  • 1 册 图书
  • 1 篇 学位论文

馆藏范围

  • 261 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 199 篇 工学
    • 57 篇 计算机科学与技术...
    • 54 篇 化学工程与技术
    • 47 篇 控制科学与工程
    • 24 篇 仪器科学与技术
    • 23 篇 电气工程
    • 19 篇 机械工程
    • 9 篇 材料科学与工程(可...
    • 8 篇 生物工程
    • 6 篇 环境科学与工程(可...
    • 5 篇 生物医学工程(可授...
    • 4 篇 土木工程
    • 4 篇 食品科学与工程(可...
    • 3 篇 动力工程及工程热...
    • 3 篇 信息与通信工程
    • 3 篇 石油与天然气工程
    • 3 篇 软件工程
    • 2 篇 力学(可授工学、理...
    • 2 篇 水利工程
    • 2 篇 农业工程
  • 120 篇 理学
    • 73 篇 统计学(可授理学、...
    • 48 篇 数学
    • 39 篇 化学
    • 16 篇 系统科学
    • 9 篇 生物学
    • 5 篇 物理学
  • 79 篇 管理学
    • 78 篇 管理科学与工程(可...
    • 8 篇 工商管理
  • 28 篇 经济学
    • 27 篇 应用经济学
  • 7 篇 医学
    • 4 篇 药学(可授医学、理...
    • 2 篇 临床医学
  • 4 篇 农学
  • 3 篇 军事学

主题

  • 261 篇 multivariate sta...
  • 39 篇 principal compon...
  • 32 篇 fault detection
  • 18 篇 fault diagnosis
  • 16 篇 process monitori...
  • 12 篇 average run leng...
  • 9 篇 pca
  • 8 篇 principal compon...
  • 8 篇 quality control
  • 7 篇 anomaly detectio...
  • 7 篇 statistical proc...
  • 7 篇 control charts
  • 6 篇 fermentation
  • 6 篇 monitoring
  • 6 篇 control chart
  • 6 篇 near-infrared sp...
  • 6 篇 fault detection ...
  • 5 篇 support vector d...
  • 5 篇 process analytic...
  • 5 篇 t-2 statistic

机构

  • 5 篇 qatar univ dept ...
  • 4 篇 sw res inst san ...
  • 4 篇 virginia polytec...
  • 3 篇 northwestern uni...
  • 3 篇 kyungpook natl u...
  • 3 篇 biochemie kundl ...
  • 3 篇 biochem ltd kund...
  • 3 篇 nankai univ inst...
  • 3 篇 rutgers state un...
  • 3 篇 univ manchester ...
  • 3 篇 colorado sch min...
  • 3 篇 nankai univ lpmc...
  • 2 篇 tsinghua univ de...
  • 2 篇 baylor univ dept...
  • 2 篇 univ bristol sch...
  • 2 篇 univ newcastle u...
  • 2 篇 newcastle univ s...
  • 2 篇 univ newcastle u...
  • 2 篇 shanghai univ sc...
  • 2 篇 univ manchester ...

作者

  • 7 篇 fujiwara koichi
  • 7 篇 kano manabu
  • 7 篇 lennox b
  • 6 篇 martin eb
  • 6 篇 woodall william ...
  • 5 篇 kornfeld g
  • 5 篇 montague ga
  • 5 篇 hiden hg
  • 5 篇 yamakawa toshita...
  • 5 篇 goulding pr
  • 4 篇 birch jeffrey b.
  • 4 篇 hamouda abdel ma...
  • 4 篇 morris aj
  • 4 篇 kim sangahn
  • 4 篇 jensen willis a.
  • 4 篇 elsayed elsayed ...
  • 4 篇 al-khalifa khali...
  • 4 篇 morris julian
  • 4 篇 shu lianjie
  • 4 篇 tsung fugee

语言

  • 227 篇 英文
  • 31 篇 其他
  • 1 篇 法文
  • 1 篇 日文
  • 1 篇 荷兰文
检索条件"主题词=Multivariate Statistical Process Control"
261 条 记 录,以下是51-60 订阅
排序:
Anomaly Detection of Continuous Wet Granulation using multivariate statistical process control (MSPC)
收藏 引用
KAGAKU KOGAKU RONBUNSHU 2022年 第3期48卷 99-103页
作者: Oishi, Takuya Nagato, Takuya Minamiguchi, Takuya Kim, Sanghong Powrex Corp Div Res & Dev 5-5-5 Kita Gawara Itami Hyogo 6640837 Japan Kyoto Univ Dept Chem Engn Nishikyo Ku Kyoto 6158246 Japan Tokyo Univ Agr & Technol Dept Appl Phys & Chem Engn 2-24-16 Naka Cho Koganei Tokyo 1848588 Japan
The multivariate statistical process control (MSPC) was applied as an anomaly detection method in the continuous manufacturing of drugs. It was confirmed whether abnormal changes in process parameters which were inten... 详细信息
来源: 评论
A Monitoring Technique Using multivariate statistical process control Method for Performance Improvement with Application to Wastewater Treatment Plant Operation
收藏 引用
IFAC Proceedings Volumes 2012年 第16期45卷 619-624页
作者: O. Yamanaka N. Yoshizawa Y. Hiraoka K. Sano T. Hamada Toshiba Corporation Tokyo Japan Japan Sewage Works Agency Tokyo Japan
This paper presents a new monitoring technique to improve the performance of plant operation based on multivariate statistical process control (MSPC). The proposed method combines with MSPC by principal component anal... 详细信息
来源: 评论
Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and multivariate statistical process control
收藏 引用
SICE Journal of control, Measurement, and System Integration 2016年 第1期9卷 10-17页
作者: Erika Abe Koichi Fujiwara Toshihiro Hiraoka Toshitaka Yamakawa Manabu Kano Department of Systems Science Kyoto University Priority Organization for Innovation and Excellence also with the Department of Computer Science and Electrical Engineering Kumamoto University
Drowsy driving accidents can be prevented if predicted in advance. The present work aims to develop a new method for detecting driver drowsiness based on the fact that the autonomic nervous function affects heart rate... 详细信息
来源: 评论
Unsupervised Fault Detection for Refrigeration Showcase Systems with Kernel Principal Component Analysis based multivariate statistical process control using Feature Selection with Maximal Information Coefficient
收藏 引用
IEEJ JOURNAL OF INDUSTRY APPLICATIONS 2021年 第5期10卷 598-605页
作者: Arai, Kiyo Fukuyama, Yoshikazu Murakami, Kenya Matsui, Tetsuro Meiji Univ Grad Sch Adv Math Sci Nakano Ku 4-21-1 Nakano Tokyo 1648525 Japan Fuji Elect Co Ltd AI Solut Ctr Digital Innovat Lab Corp R&D Headquarters Fujimachi Hino Tokyo 1918502 Japan
This paper proposes a kernel principal component analysis (KPCA) based multivariate statistical process control (KPCA-MSPC) method for fault detection of refrigeration showcase systems using a feature selection method... 详细信息
来源: 评论
multivariate nonlinear statistical process control of a sequencing batch reactor
收藏 引用
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN 2006年 第1期39卷 43-51页
作者: Yoo, CK Villez, K Lee, IB Vanrolleghem, PA Univ Ghent BIOMATH Dept Appl Math B-9000 Ghent Belgium Pohang Univ Sci & Technol Dept Chem Engn Sch Environm Sci & Engn Pohang 790784 South Korea
This research describes the application of a multivariate statistical process control method to a pilot-scale sequencing batch reactor (SBR) using a hatchwise nonlinear monitoring technique for a denoising effect. Thr... 详细信息
来源: 评论
Dynamic multivariate statistical process control using partial least squares and canonical variate analysis
收藏 引用
COMPUTERS & CHEMICAL ENGINEERING 1999年 第Sup期23卷 S277-S280页
作者: Simoglou, A Martin, EB Morris, AJ Univ Newcastle Upon Tyne CPACT Foresight Ctr Proc Analyt & Control Technol Newcastle Upon Tyne NE1 7RU Tyne & Wear England
multivariate statistical techniques have been shown to be useful tools for multivariate statistical process control (MSPC) and process modelling. However, these approaches have been mainly applied to static systems. I... 详细信息
来源: 评论
On the Feasibility of Distinguishing Between process Disturbances and Intrusions in process control Systems using multivariate statistical process control
On the Feasibility of Distinguishing Between Process Disturb...
收藏 引用
Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops
作者: Mikel Iturbe Jose Camacho Inaki Garitano Urko Zurutuza Roberto Uribeetxeberria Department of Electronics and Computing Faculty of Engineering Mondragon University Department of Signal Theory Telematics and Communications - CITIC University of Granada
process control Systems (PCSs) are the operating core of Critical Infrastructures (CIs). As such, anomaly detection has been an active research field to ensure CI normal operation. Previous approaches have leveraged n... 详细信息
来源: 评论
Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process  55
Deep learning for multivariate statistical in-process contro...
收藏 引用
55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022
作者: Biegel, Tobias Jourdan, Nicolas Hernandez, Carlos Cviko, Amir Metternich, Joachim Otto-Berndt-Str. 2 Darmstadt64287 Germany Blumenstraße 5 Köngen 73257 Germany
Detecting abnormal conditions in manufacturing processes is a crucial task to avoid unplanned downtimes and prevent quality issues. The increasing amount of available high-frequency process data combined with advances... 详细信息
来源: 评论
Deep learning for multivariate statistical in-process control in discrete manufacturing: A case study in a sheet metal forming process
收藏 引用
Procedia CIRP 2022年 107卷 422-427页
作者: Tobias Biegel Nicolas Jourdan Carlos Hernandez Amir Cviko Joachim Metternich Institute for Production Management Technology and Machine Tools (PTW) Otto-Berndt-Str. 2 64287 Darmstadt Germany Staufen. Quality Engineers GmbH (SQE) Blumenstraße 5 73257 Köngen Germany
Detecting abnormal conditions in manufacturing processes is a crucial task to avoid unplanned downtimes and prevent quality issues. The increasing amount of available high-frequency process data combined with advances... 详细信息
来源: 评论
A multivariate change-point model for statistical process control
收藏 引用
TECHNOMETRICS 2006年 第4期48卷 539-549页
作者: Zamba, K. D. Hawkins, Douglas M. Univ Iowa Coll Publ Hlth Dept Biostat Iowa City IA 52242 USA Univ Minnesota Sch Stat Minneapolis MN 55455 USA
multivariate statistical process control (SPC) carries out ongoing checks to ensure that a process is in control. These checks on the process are traditionally done by T-2, multivariate cusum, and multivariate exponen... 详细信息
来源: 评论