| 书目名称 | Data Analytics for Process Engineers | | 副标题 | Prediction, Control | | 编辑 | Daniela Galatro,Stephen Dawe | | 视频video | | | 概述 | Includes data analytics and machine learning tools to analyze process engineering–related problems pragmatically.Provides a comprehensive review of tools for monitoring, modeling, controlling, and opt | | 丛书名称 | Synthesis Lectures on Mechanical Engineering | | 图书封面 |  | | 描述 | This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineering–related problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, itcan be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks. . | | 出版日期 | Textbook 2024 | | 关键词 | data-based prediction; data analytics; process control; process engineering; process optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-46866-7 | | isbn_softcover | 978-3-031-46868-1 | | isbn_ebook | 978-3-031-46866-7Series ISSN 2573-3168 Series E-ISSN 2573-3176 | | issn_series | 2573-3168 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 20:07:24
