Authors:
- Presents a hybrid approach to power plant fault diagnostics
- Applies computational intelligence and neuro-fuzzy methods to power engineering
- Written by a respected expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 743)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Mechanical Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia
Tamiru Alemu Lemma
Bibliographic Information
Book Title: A Hybrid Approach for Power Plant Fault Diagnostics
Authors: Tamiru Alemu Lemma
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-71871-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-71869-9Published: 20 January 2018
Softcover ISBN: 978-3-319-89112-5Published: 04 June 2019
eBook ISBN: 978-3-319-71871-2Published: 30 December 2017
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 283
Number of Illustrations: 23 b/w illustrations, 138 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Power Electronics, Electrical Machines and Networks, Energy Systems