Data Analytics for Process Engineers is popular PDF and ePub book, written by Daniela Galatro in 2024-01-20, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Data Analytics for Process Engineers can be Read Online from any device for your convenience.
Data Analytics for Process Engineers Book PDF Summary
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, it can 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.
Detail Book of Data Analytics for Process Engineers PDF
- Author : Daniela Galatro
- Release : 20 January 2024
- Publisher : Springer Nature
- ISBN : 9783031468667
- Genre : Science
- Total Page : 151 pages
- Language : English
- PDF File Size : 20,8 Mb
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