Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management  (English, Hardcover, Balali Farhad)

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    Highlights
    • Language: English
    • Binding: Hardcover
    • Publisher: Springer Nature Switzerland AG
    • Genre: Science
    • ISBN: 9783030359294, 9783030359294
    • Pages: 236
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  • Description
    This book presents a step by step Asset Health Management Optimization Approach Using Internet of Things (IoT). The authors provide a comprehensive study which includes the descriptive, diagnostic, predictive, and prescriptive analysis in detail. The presentation focuses on the challenges of the parameter selection, statistical data analysis, predictive algorithms, big data storage and selection, data pattern recognition, machine learning techniques, asset failure distribution estimation, reliability and availability enhancement, condition based maintenance policy, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the reliability and availability of the system.
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    Book Details
    Imprint
    • Springer Nature Switzerland AG
    Dimensions
    Height
    • 235 mm
    Length
    • 155 mm
    Weight
    • 559 gr
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