Buy Data Analytics for Process Engineers at Bookstore UAE
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Science, Technology & Agriculture > Industrial chemistry and manufacturing technologies > Industrial chemistry and chemical engineering > Process engineering technology and techniques > Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)
Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)

Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

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. 

Table of Contents:
Sources of Data.- Exploratory Data Analysis.- Data-based modelling for prediction.- Data-based modelling for control.- Optimization.- Final remarks.

About the Author :
Daniela Galatro is a Chemical Engineer (Ph.D. and MSc. in Mechanical Engineer) with more than 21 years of experience in the design, optimization, start-up, and operation of chemical production plants in Engineering Procurement and Construction (EPC) and manufacturing companies, as well as flow assurance, data analysis, machine learning, and computer process modelling and simulation. During her process engineering career, she increased several chemical processes' throughput, reliability, and quality. She contributed to reducing environmental impact for her employer and customers in the petrochemical, oil and gas, and refining industries. She has extensive experience abroad, including in Canada, Germany, China, Russia, and Venezuela. She is an Assistant Professor, Teaching Stream in the Department of Chemical Engineering & Applied Chemistry at the University of Toronto, Canada. She teaches Heat and Mass Transfer, Petroleum Processing, Plant Design, and Data-based Modelling for Predictionand Control. Her research includes mapping Education 4.0 and Industry 4.0, using machine learning techniques to map and track contaminants with geoelectrical surveys, and evaluating potential causes of health risk factors. She has supervised several graduate students of the Magister Engineering program, with projects involving predictive analytics and multi-objective optimization in process engineering (sulfur recovery units and amine treatment units). Stephen Dawe is a Chemical Engineer (M.Eng. in Chemical Engineering) with an emphasis on data analytics and process engineering. He currently works as a process engineer in designing and optimizing chemical processes.


Best Sellers


Product Details
  • ISBN-13: 9783031468681
  • Publisher: Springer International Publishing AG
  • Publisher Imprint: Springer International Publishing AG
  • Height: 240 mm
  • No of Pages: 145
  • Series Title: Synthesis Lectures on Mechanical Engineering
  • Width: 168 mm
  • ISBN-10: 3031468686
  • Publisher Date: 21 Dec 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Prediction, Control and Optimization


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)
Springer International Publishing AG -
Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Analytics for Process Engineers: Prediction, Control and Optimization(Synthesis Lectures on Mechanical Engineering)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!