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检索条件"主题词=Multivariate Statistical Process Control"
261 条 记 录,以下是131-140 订阅
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Improvement of causal analysis using multivariate statistical process control
Improvement of causal analysis using multivariate statistica...
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22nd ACM Symposium on Applied Computing
作者: Chang, Ching-Pao Chu, Chih-Ping Natl Cheng Kung Univ Dept Comp Sci & Informat Engn Tainan 701 Taiwan
statistical process control (SPC) is a conventional means of monitoring software processes and detecting related problems, where the causes of detected problems can be identified using causal analysis. Determining the... 详细信息
来源: 评论
Biological nitrogen removal process monitoring based on fuzzy robust PCA
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Research Journal of Applied Sciences, Engineering and Technology 2014年 第21期7卷 4434-4444页
作者: Heloulou, Nabila Ramdani, Messaoud Abidi, Abdenabi Department of Electronics Laboratoire d'Automatique et Signaux de Annaba (LASA) Université Badji-Mokhtar de Annaba Annaba 23000 BP. 12 Algeria Department of Engineering Laboratoire d'Automatique et Signaux de Annaba (LASA) Université Badji-Mokhtar de Annaba Annaba 23000 BP. 12 Algeria
In this study the Fuzzy Robust Principal Component Analysis (FRPCA) method is used to monitor a biological nitrogen removal process, performances of this method are then compared with classical principal component ana... 详细信息
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Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
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CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 2013年 125卷 101-108页
作者: Rato, Tiago J. Reis, Marco S. Univ Coimbra CIEPQPF Dept Chem Engn P-3030790 Coimbra Portugal
Current multivariate control charts for monitoring large scale industrial processes are typically based on latent variable models, such as principal component analysis (PCA) or its dynamic counterpart when variables p... 详细信息
来源: 评论
Improved design of kernel distance-based charts using support vector methods
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IIE TRANSACTIONS 2013年 第4期45卷 464-476页
作者: Ning, Xianghui Tsung, Fugee Beijing Jiaotong Univ Sch Mech Elect & Control Engn Dept Mech Engn Beijing Peoples R China Hong Kong Univ Sci & Technol Dept Ind Engn & Logist Management Hong Kong Hong Kong Peoples R China Hong Kong Univ Sci & Technol Qual Lab Hong Kong Hong Kong Peoples R China
statistical process control (SPC) techniques that originated in manufacturing have also been used to monitoring the quality of various service processes, which can be characterized by one or several variables. In the ... 详细信息
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Chromatographic Peak Alignment Using Derivative Dynamic Time Warping
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BIOTECHNOLOGY PROGRESS 2013年 第2期29卷 394-402页
作者: Bork, Christopher Ng, Kenneth Liu, Yinhan Yee, Alex Pohlscheidt, Michael Genentech Inc Mfg Sci & Technol Oceanside CA 92056 USA Univ Minnesota Dept Chem Engn Minneapolis MN 55455 USA Stanford Univ Dept Bioengn Stanford CA 94304 USA
Chromatogram overlays are frequently used to monitor inter-batch performance of bioprocess purification steps. However, the objective analysis of chromatograms is difficult due to peak shifts caused by variable phase ... 详细信息
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multivariate control chart based on the highest possibility region
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JOURNAL OF APPLIED STATISTICS 2013年 第8期40卷 1673-1681页
作者: Gang, Ting-Ting Yang, Jun Zhao, Yu Beihang Univ Sch Reliabil & Syst Engn Beijing 100191 Peoples R China
The T-2 control chart is widely adopted in multivariate statistical process control. However, when dealing with asymmetrical or multimodal distributions using the traditional T-2 control chart, some points with relati... 详细信息
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VARIABLE SAMPLE SIZE AND SAMPLING INTERVAL HOTELLING'S T-2 CHARTS WITH RUNS RULES FOR SWITCHING BETWEEN SAMPLE SIZES AND SAMPLING INTERVAL LENGTHS
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INTERNATIONAL JOURNAL OF RELIABILITY QUALITY & SAFETY ENGINEERING 2013年 第4期20卷 1350015-1350030页
作者: Mahadik, Shashibhushan B. Solapur Univ Dept Stat Solapur 413255 India
Variable sample size and sampling interval (VSSI) T-2 charts are substantially more efficient than static T-2 charts. However, the frequent switches between sample sizes and sampling interval lengths can be a complica... 详细信息
来源: 评论
multivariate statistical process control charts: An overview
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QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL 2007年 第5期23卷 517-543页
作者: Bersimis, S. Psarakis, S. Panaretos, J. Athens Univ Econ & Business Dept Stat GR-10434 Athens Greece Univ Calif Berkeley Dept Stat Berkeley CA 94720 USA Univ Piraeus Dept Stat & Insurance Sci GR-18534 Piraeus Greece
In this paper we discuss the basic procedures for the implementation of multivariate statistical process control via control charting. Furthermore, we review multivariate extensions for all kinds of univariate control... 详细信息
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On-line classifying process mean shifts in multivariate control charts based on multiclass support vector machines
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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2012年 第22期50卷 6288-6310页
作者: Du, Shichang Lv, Jun Xi, Lifeng Shanghai Jiao Tong Univ Sch Mech Engn Dept Ind Engn & Logist Engn Shanghai 200240 Peoples R China E China Normal Univ Sch Business Shanghai 200241 Peoples R China State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China
In multivariate statistical process control (MSPC), most multivariate control charts can effectively monitor anomalies based on overall statistic, however, they cannot provide guidelines to classify the source(s) of o... 详细信息
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Advances in Data-driven Monitoring Methods for Complex process
Advances in Data-driven Monitoring Methods for Complex Proce...
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3rd International Conference on Applied Mechanics, Materials and Manufacturing (ICAMMM 2013)
作者: Chen, Ru Qing Jiaxing Univ Coll Mech & Elect Engn Jiaxing 314001 Zhejiang Peoples R China
In modern industrial processes, effective performance monitoring and quality prediction are the key to ensure plant safety and enhance product quality. The research significance and background of process monitoring an... 详细信息
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