Capturing Connectivity Causality Complex by Yang Fan (11 results)
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Capturing Connectivity and Causality in Complex Industrial Processes
Chen Tongwen Shah Sirish L. Duan Ping Yang Fan T. Chen S.L. Shah P. Duan F. Yang
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Condition: New. pp. xiii + 91.
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 2014 edition. 91 pages. 9.00x6.00x0.50 inches. In Stock.
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Capturing Connectivity and Causality in Complex Industrial Processes | Fan Yang (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xiii | Englisch | 2014 | Springer | EAN 9783319053790 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelb…erg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer International Publishing Apr 2014, 2014
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ide…as are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard analysis. Fault detection and isolation for industrial processes being concerned with root causes and fault propagation, the brief shows that, process connectivity and causality information can be captured in two ways: from process knowledge: structural modeling based on first-principles structural models can be merged with adjacency/reachability matrices or topology models obtained from process flow-sheets described in standard formats; and from process data: cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian networks can be used to identify pair-wise relationships and network topology.These methods rely on the notion of information fusion whereby process operating data is combined with qualitative process knowledge, to give a holistic picture of the system. 108 pp. Englisch.
Capturing Connectivity and Causality in Complex Industrial Processes
Tongwen Chen Sirish L. Shah Ping Duan Fan Yang Chen T. Shah S.L. Duan P. Yang F.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. xiii + 91 54 Illus. (24 Col.).
Capturing Connectivity and Causality in Complex Industrial Processes
Tongwen Chen Sirish L. Shah Ping Duan Fan Yang Chen T. Shah S.L. Duan P. Yang F.
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. xiii + 91.
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an exhaustive overview of concepts and descriptions of connectivity and causality in complex processesExplains how to obtain an acceptable process topology from the fusion of different information resourcesTu…torial style deepens un.
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas a…re of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard analysis. Fault detection and isolation for industrial processes being concerned with root causes and fault propagation, the brief shows that, process connectivity and causality information can be captured in two ways: from process knowledge: structural modeling based on first-principles structural models can be merged with adjacency/reachability matrices or topology models obtained from process flow-sheets described in standard formats; and from process data: cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian networks can be used to identify pair-wise relationships and network topology.These methods rely on the notion of information fusion whereby process operating data is combined with qualitative process knowledge, to give a holistic picture of the system.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.
