| 书目名称 | Data Intensive Industrial Asset Management | | 副标题 | IoT-based Algorithms | | 编辑 | Farhad Balali,Jessie Nouri,Tian Zhao | | 视频video | | | 概述 | Provides a comprehensive reference, focused on the Asset Health Management Optimization Approach Using Internet of Things (IoT).Describes a data-driven optimization method, which considers the challen | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2020 | | 关键词 | Internet of Things; Optimization of Manufacturing Systems Using Internet of Things; Predictive Failure | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-35930-0 | | isbn_softcover | 978-3-030-35932-4 | | isbn_ebook | 978-3-030-35930-0 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 16:52:05
