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商品詳細
Data Intensive Industrial Asset Management : IoT-based Algorithms and Implementation. 1st ed. 2020.
・ISBN 978-3-030-35932-4 paper EUR 99.99
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| 著者・編者 | Balali, Farhad / Nouri, Jessie / Nasiri, Adel / Zhao, Tian, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2021 |
| ページ数 | 236 pp. |
| 言語 | ENG |
| ニュース番号 | <M25-3565> |
解説
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.