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ISBN: 0128193662 0128193654 9780128193662 9780128193655 Year: 2020 Publisher: San Diego Elsevier
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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches - such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches - to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. --
Process control --- Statistical methods. --- Statistical process control
Book
ISBN: 1783320621 9781783320622 1842658816 9781842658819 Year: 2014 Publisher: Oxford, U.K : Alpha Science International,
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Process control --- Statistical process control --- Statistical methods.
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ISBN: 042929834X 1000222039 9780429298349 9780367029975 9781000222081 100022208X 9781000222036 9780367616144 9781000222135 1000222136 Year: 2020 Publisher: Boca Raton, Florida ; London ; New York : CRC Press,
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Process control --- Statistical methods. --- Statistical process control
Book
ISBN: 013191135X Year: 2004 Publisher: Upper Saddle River, N.J. Pearson Prentice Hall
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For undergraduate/graduate-level courses in Quality Control, Statistical Process Control, Quality Improvement and Quality Assurance. Practical and state-of-the-art in approach, this text provides fundamental--yet comprehensive--coverage of quality control concepts. Sufficient theory is presented to ensure that students gain a sound understanding of the basic principles of quality control. The substantial use of probability and statistical techniques is reduced to simple mathematics or is developed in the form of tables and charts.
ISBN: 031468459X Year: 1988 Publisher: St. Paul, Minn. West Publishing
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Materials sciences --- Production management --- SPC (statistical process control) --- kwaliteitscontrole
ISBN: 9780750665292 0750665297 1138173266 9786611009533 1423723414 1136379118 1281009539 0080479545 9781423723417 9780080479545 9781136379116 9781136379062 1136379061 9781136379109 113637910X 9781138173262 9781281009531 Year: 2005 Publisher: Amsterdam ; London : Elsevier Butterworth-Heinemann,
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Mastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down wit
Quality control --- Process control --- Qualité --- Fabrication --- Statistical methods. --- Contrôle --- Méthodes statistiques --- Statistical process control
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ISBN: 0134578627 Year: 1994 Publisher: Englewood Cliffs (N.J.): Prentice Hall
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Process control --- Quality control --- Statistical process control --- Statistical methods --- Mathematical statistics --- Production management --- Kwaliteitsbeheersing. --- Toegepaste statistiek.
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ISBN: 2708117742 Year: 1995 Publisher: Paris : Ed. d'organisation,
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Qualité --- Statistique --- Procede de fabrication --- S.p.c. (statistical process control) --- Contrôle
ISBN: 3540762337 Year: 1998 Publisher: New York, N.Y. Springer
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Mathematical statistics --- Planning (firm) --- Production management --- statistische procescontrole --- SPC (statistical process control) --- sociale wetenschappen --- statistiek --- productieorganisatie
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