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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
排序:
Bayesian framework for fault variable identification
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JOURNAL OF QUALITY TECHNOLOGY 2019年 第4期51卷 375-391页
作者: Turkoz, Mehmet Kim, Sangahn Jeon, Young-Seon Jeong, Myong K. (Mk) Elsayed, Elsayed A. Al-Khalifa, Khalifa N. Hamouda, Abdel Magid Rutgers State Univ Dept Management Sci & Informat Syst Piscataway NJ USA Siena Coll Dept Quantitat Business Anal Loudonville NY USA Chonnam Natl Univ Dept Ind Engn Gwangju South Korea Rutgers State Univ Dept Ind & Syst Engn 96 Frelinghuysen Rd Piscataway NJ 08854 USA Qatar Univ Dept Mech & Ind Engn Doha Qatar
In most manufacturing processes, identifying the faulty process variables that may lead to process changes is crucial for quality engineers and practitioners. There are several parametric procedures for identifying fa... 详细信息
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A Robust multivariate EWMA control Chart for Detecting Sparse Mean Shifts
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JOURNAL OF QUALITY TECHNOLOGY 2016年 第3期48卷 265-283页
作者: Liang, Wenjuan Xiang, Dongdong Pu, Xiaolong E China Normal Univ Shanghai 200062 Peoples R China Huangshan Univ Huangshan Anhui Peoples R China
In multivariate statistical process control (MSPC) applications, process mean shifts sometimes occur in only a few components. To solve this MSPC problem, many control charts were proposed in the literature. Most of t... 详细信息
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Improved principal component monitoring of large-scale processes
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JOURNAL OF process control 2004年 第8期14卷 879-888页
作者: Kruger, U Zhou, YQ Irwin, GW Queens Univ Belfast Sch Elect & Elect Engn Intelligent Syst & Control Res Grp Belfast BT9 5AH Antrim North Ireland Shandong Univ Sch Mech Engn Jinan 250061 Peoples R China
In this work, the integration of ARMA filters into the multivariate statistical process control (MSPC) framework is presented to improve the monitoring of large-scale industrial processes. As demonstrated in the paper... 详细信息
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Comparison of linear and nonlinear dimension reduction techniques for automated process monitoring of a decentralized wastewater treatment facility
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STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 2016年 第5期30卷 1527-1544页
作者: Kazor, Karen Holloway, Ryan W. Cath, Tzahi Y. Hering, Amanda S. Colorado Sch Mines Dept Appl Math & Stat Golden CO 80401 USA Colorado Sch Mines Dept Civil & Environm Engn Golden CO 80401 USA
multivariate statistical methods for online process monitoring have been widely applied to chemical, biological, and engineered systems. While methods based on principal component analysis (PCA) are popular, more rece... 详细信息
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Monitoring Variation in a multivariate process When the Dimension is Large Relative to the Sample Size
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COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 2009年 第6期38卷 939-951页
作者: Mason, Robert L. Chou, Youn-Min Young, John C. SW Res Inst San Antonio TX 78228 USA Univ Texas San Antonio Dept Math San Antonio TX USA
A control procedure is presented for monitoring changes in variation for a multivariate normal process in a Phase II operation where the subgroup size, m, is less than p, the number of variates. The methodology is bas... 详细信息
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An effective combined multivariate control chart based on support vector data description
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JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING 2019年 第12期10卷 4819-4835页
作者: Xia, Beixin Jian, Zheng Tao, Ningrong Shanghai Univ Sch Management Shanghai Peoples R China Shanghai Univ Sch Mechatron Engn & Automat Shanghai Peoples R China Shanghai Ocean Univ Coll Engn 999 Huchenghua Rd Shanghai 201306 Peoples R China
Conventional multivariate control charts usually focus on a specific process shifts range (small or large), and they cannot get the knowledge of manufacturing process through the learning of in-control data and be eff... 详细信息
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NIR techniques create added values for the pellet and biofuel industry
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BIORESOURCE TECHNOLOGY 2009年 第4期100卷 1589-1594页
作者: Lestander, Torbjoern A. Johnsson, Bo Grothage, Morgan Swedish Univ Agr Sci Unit Biomass Technol & Chem SE-90304 Umea Sweden Casco Adhes AB SE-85013 Sundsvall Sweden
A 2(3)-factorial experiment was carried out in an industrial plant producing biofuel pellets with sawdust as feedstock. The aim was to use on-line near infrared (NIR) spectra from sawdust for real time predictions of ... 详细信息
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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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Monitoring a complex refining process using multivariate statistics
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control ENGINEERING PRACTICE 2008年 第3期16卷 294-307页
作者: AlGhazzawi, Ashraf Lennox, Barry Univ Manchester Control Syst Grp Manchester M13 9PL Lancs England
Over the past decade, multivariate statistical process control (MSPC) methods have been proven, in the process industries, to be an effective tool for process monitoring, modelling and fault detection. This paper desc... 详细信息
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Cluster-based artificial contrasts for inhomogeneously distributed data with an indicator variable
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INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 2016年 第17期54卷 5045-5055页
作者: Hwang, Wook-Yeon ASTAR Data Analyt Dept Inst Infocomm Res Singapore Singapore
multivariate statistical process control is used for simultaneously monitoring several process variables. The original artificial contrasts (AC) are very useful for monitoring inhomogeneously distributed data with an ... 详细信息
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