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Data Intensive Industrial Asset Management

IoT-based Algorithms and Implementation

Jessie Nouri, Adel Nasiri, Tian Zhao, et al.

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ca. 96,29
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Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Physik, Astronomie

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.

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Schlagwörter

Internet of Things, Optimization of Manufacturing Systems Using Internet of Things, Predictive Failure Detection Algorithms, Big Data Analytics, Edge and Cloud Computing, quality control, reliability, safety and risk