Data Analytics in the Era of the Industrial Internet of Things

Author:   Aldo Dagnino
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
ISBN:  

9783030631413


Pages:   133
Publication Date:   06 February 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Data Analytics in the Era of the Industrial Internet of Things


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Author:   Aldo Dagnino
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.244kg
ISBN:  

9783030631413


ISBN 10:   3030631419
Pages:   133
Publication Date:   06 February 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

​Chapter 1: Industrial Internet of Things Framework.- Chapter 2: Industrial Analytics.- Chapter 3: Machine Learning to Predict Fault Events in Power Distribution Systems.- Chapter 4: Analyzing Events and Alarms in Control Systems.- Chapter 5: Condition Monitoring of Rotating Machines in Power Generation Plants.- Chapter 6: Machine Learning Recommender for New Products and Services.- Chapter 7: Managing Analytic Projects in the IIoT Enterprise.

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Author Information

Dr. Aldo Dagnino is an Industrial Engineer and received his M. A. Sc. and Ph. D degrees in the Department of Systems Design Engineering at the University of Waterloo in Canada. He has  collaborated with various universities such as North Carolina State University and  the University of Calgary where he held Adjunct Faculty appointments to conduct joint research, co-supervise graduate students, and create industrial internship programs to bridge academia with industry needs. Dr. Dagnino has 30 years’ experience developing advanced software solutions for industrial applications. The main focus of his work has been to bridge the technical fields of Computer Science, Software Engineering, and Industrial Systems Engineering for the development of new production systems that will enhance environmentally sustainable industrial processes and create new job opportunities. Dr. Dagnino has also utilized the fields of Artificial Intelligence, Machine Learning, Data Mining, Operations Research, Robotics, Software Engineering, Industrial Engineering, and Manufacturing Engineering in the development of new software products and services for electronics, telecommunications, electro-mechanics, oil and gas, power generation, manufacturing, and power transmission and distribution. Dr. Dagnino led the Advanced Industrial Analytics Group at ABB US Corporate Research and is currently leading the advanced analytics activities within the ABB Global Information Systems organization.

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