Authors:
- Offers an essential introduction to diagnostics and optimization in power engineering
- Presents diagnostic systems for various types of energy equipment
- Written by respected experts in the field
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 281)
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About this book
Authors and Affiliations
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Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine
Vitalii P. Babak
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Committee on Education, Science and Innovation of Verkhovna Rada of Ukraine, Kyiv, Ukraine
Serhii V. Babak
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Department of Theoretical Electrical Engineering, Institute of Electrodynamics of NAS of Ukraine, Kyiv, Ukraine
Mykhailo V. Myslovych, Valeriy M. Zvaritch
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Department of Monitoring and Optimization of Thermophysical Processes, Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine
Artur O. Zaporozhets
About the authors
Serhiy V. Babak, Doctor of Technical Sciences, Candidate of Economical Sciences
Mykhailo V. Myslovych, Doctor of Technical Sciences, Professor, laureate of the State Prize of Ukraine in the field of science and technology
Artur O. Zaporozhets, Candidate of Technical Sciences, Senior Researcher
Valeriy M. Zvaritch, Doctor of Technical Sciences, Senior Researcher
Bibliographic Information
Book Title: Diagnostic Systems For Energy Equipments
Authors: Vitalii P. Babak, Serhii V. Babak, Mykhailo V. Myslovych, Artur O. Zaporozhets, Valeriy M. Zvaritch
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-44443-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-44442-6Published: 20 March 2020
Softcover ISBN: 978-3-030-44445-7Published: 20 March 2021
eBook ISBN: 978-3-030-44443-3Published: 19 March 2020
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: X, 133
Number of Illustrations: 44 b/w illustrations, 8 illustrations in colour
Topics: Control and Systems Theory, Energy Systems, Computational Intelligence