Kumar Ankur, Flores-Cerrillo Jesus - Machine Learning In Python For Process Systems Engineering. Achieve Operational Excellence Using Process Data.pdf
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Machine Learning in Python for
Process Systems Engineering
Achieve operational excellence using process data
Ankur Kumar, Jesus Flores-Cerrillo
1
`
Machine Learning in
Python for Process
Systems Engineering
Achieving operational excellence using process data
Ankur Kumar
Jesus Flores-Cerrillo
`
Dedicated to our spouses, family, friends, motherland, and all the data-science
enthusiasts
`
Machine Learning in Python for Process Systems Engineering
www.MLforPSE.com
Copyright © 2022
Ankur Kumar
All rights reserved. No part of this book may be reproduced or transmitted in any form or
in any manner without the prior written permission of the authors.
.
Every effort has been made in the preparation of this book to ensure the accuracy
of the information presented and obtain permissions for usage of copyrighted materials.
However, the authors make no warranties, expressed or implied, regarding errors or
omissions and assume no legal liability or responsibility for loss or damage resulting
from the use of information contained in this book
.
To request permissions, contact the authors at MLforPSE@gmail.com
First published: February 2022
`
About the Authors
Ankur Kumar
holds a PhD degree (2016) in Process Systems
Engineering from the University of Texas at Austin and a bachelor’s
degree (2012) in Chemical Engineering from the Indian Institute of
Technology Bombay. He currently works at Linde in the Advanced Digital
Technologies & Systems Group in Linde’s Center of Excellence, where he
has developed several in-house machine learning-based monitoring and
process control solutions for Linde’s hydrogen and air-separation plants.
Ankur’s tools have won several awards both within and outside Linde.
Most recently, one of his tools, PlantWatch (a plantwide fault detection and diagnosis
tool), received the 2021 Industry 4.0 Award by the Confederation of Industry of the Czech
Republic. Ankur has authored or co-authored more than 10 peer-reviewed journal papers
(in the areas of data-driven process modeling and optimization), is a frequent reviewer
for many top-ranked Journals, and has served as Session Chair at several international
conferences. Ankur also served as an Associate Editor of the Journal of Process Control
from 2019 to 2021.
Jesus Flores-Cerrillo
is currently an Associate Director - R&D at Linde
and manages the Advanced Digital Technologies & Systems Group in
Linde’s Center of Excellence. He has over 20 years of experience in the
development and implementation of monitoring technologies and
advanced process control & optimization solutions. Jesus holds a PhD
degree in Chemical Engineering from McMaster University and has
authored or co-authored more than 40 peer-reviewed journal papers in
the areas of multivariate statistics and advanced process control among others. His team
develops and implements novel plant monitoring, machine learning, IIOT solutions to
improve the efficiency and reliability of Linde’s processes. Jesus’s team received the
Artificial Intelligence and Advanced Analytics Leadership 2020 award from the National
Association of Manufacturers’ Manufacturing Leadership Council.
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