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Chemometric Monitoring Product Quality Assessment Process Fault Detection And Applications 2017 Edition at Meripustak

Chemometric Monitoring Product Quality Assessment Process Fault Detection And Applications 2017 Edition by Madhusree Kundu, Palash Kumar Kundu , Taylor & Francis Ltd

Books from same Author: Madhusree Kundu, Palash Kumar Kundu

Books from same Publisher: Taylor & Francis Ltd

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  • General Information  
    Author(s)Madhusree Kundu, Palash Kumar Kundu
    PublisherTaylor & Francis Ltd
    ISBN9781138746213
    Pages330
    BindingSoftbound
    LanguageEnglish
    Publish YearNovember 2017

    Description

    Taylor & Francis Ltd Chemometric Monitoring Product Quality Assessment Process Fault Detection And Applications 2017 Edition by Madhusree Kundu, Palash Kumar Kundu

    Data collection, compression, storage, and interpretation have become mature technologies over the years. Extraction of meaningful information from the process historical database seems to be a natural and logical choice. In view of this, the proposed book aims to apply the data driven knowledge base in ensuring safe process operation through timely detection of process abnormal and normal operating conditions, assuring product quality and analyzing biomedical signal leading to diagnostic tools. The book poses an open invitation for an interface which is required henceforth, in practical implementation of the propositions and possibilities referred in the book. It poses a challenge to the researchers in academia towards the development of more sophisticated algorithms. The proposed book also incites applications in diversified areas.Key Features:Presents discussion of several modern and popular chemometric techniquesIntroduces specific illustrative industrial applications using the chemometric techniquesDemonstrates several applications to beverage quality monitoringProvides all the algorithms developed for the automated device design, data files, sources for biomedical signals and their pre-processing steps, and all the process models requited to simulate process normal/faulty dataIncludes casestudy-based approach to the topics with MATLAB and SIMULINK source codes



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