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Data Intensive Industrial Asset Management

Data Intensive Industrial Asset Management

von Adel Nasiri, Farhad Balali, Jessie Nouri und Tian Zhao
Hardcover - 9783030359294
106,99 €
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Softcover - 9783030359324
106,99 €

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Weitere Formate

Softcover - 9783030359324
106,99 €

Beschreibung

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.

IoT-based Algorithms and Implementation

IoT-based Algorithms and Implementation

Details

Verlag Springer International Publishing
Ersterscheinung 23. Januar 2020
Maße 23.5 cm x 15.5 cm
Gewicht 559 Gramm
Format Hardcover
ISBN-13 9783030359294
Auflage 1st ed. 2020
Seiten 236

Schlagwörter

Building Construction and Design, Hochbau und Baustoffe, Security Science and Technology, Sicherheitssysteme und Brandmeldeanlagen, Statistics in Engineering - Physics - Computer Science - Chemistry and Earth Sciences, Wahrscheinlichkeitsrechnung und Statistik