Photovoltaic Systems Artificial Intelligence Based Fault Diagnosis and Predictive Maintenance (Record no. 814469)

MARC details
000 -LEADER
fixed length control field 07231nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240111s2022 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781032064260
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781032064260
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.31244
Item number SUN
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sundaram, K. Mohana
9 (RLIN) 879282
Relator term editor
245 ## - TITLE STATEMENT
Title Photovoltaic Systems Artificial Intelligence Based Fault Diagnosis and Predictive Maintenance
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boca Raton, FL :
Name of publisher, distributor, etc. CRC Press,
Date of publication, distribution, etc. c2022
300 ## - PHYSICAL DESCRIPTION
Extent x, 140 p.
Other physical details : ill
500 ## - GENERAL NOTE
General note Biography<br/><br/>K. Mohana Sundaram is Professor in Department of EEE, KPR Institute of Engineering and Technology , Coimbatore India. He has 18 years of teaching and research experience. His current research interests include intelligent controllers, power systems, embedded systems, and power electronics. He has completed a funded project of worth Rs. 30.84 lakhs sponsored by DST, Government of India. He received his B.E. degree in Electrical and Electronics Engineering from University of Madras in 2000, M. Tech degree in High Voltage Engineering from SASTRA University in 2002, and Ph.D. degree from Anna University, India, in 2014. Under his supervision, four candidates have completed their Ph.D. from Anna University, Chennai, while nine candidates are still pursuing. He has published 47 articles in international journals. He serves as reviewer for IEEE journals, Springer journals, and Elsevier. He is a member of IE, ISTE, IAENG, etc.<br/><br/>Sanjeevikumar Padmanaban (M’12–SM’15) received the bachelor’s degree in electrical engineering from the University of Madras, Chennai, India, in 2002, the master’s degree (Hons.) in electrical engineering from Pondicherry University, Puducherry, India, in 2006, and the PhD degree in electrical engineering from the University of Bologna, Bologna, Italy, in 2012. He was an Associate Professor with VIT University from 2012 to 2013. In 2013, he joined the National Institute of Technology, India, as a Faculty Member. In 2014, he was invited as a Visiting Researcher at the Department of Electrical Engineering, Qatar University, Doha, Qatar, funded by the Qatar National Research Foundation (Government of Qatar). He continued his research activities with the Dublin Institute of Technology, Dublin, Ireland, in 2014. He was an Associate Professor with the Department of Electrical and Electronics Engineering, University of Johannesburg, Johannesburg, South Africa, from 2016 to 2018. Since 2018, he has been a Faculty Member with the Department of Energy Technology, Aalborg University, Esbjerg, Denmark. He has authored more than 300 scientific papers. S. Padmanaban was the recipient of the Best Paper cum Most Excellence Research Paper Award from IET-SEISCON’13, IET-CEAT’16, IEEE-EECSI’19, IEEE-CENCON’19 and five best paper awards from ETAEERE’16 sponsored Lecture Notes in Electrical Engineering, Springer book. He is a Fellow of the Institution of Engineers, India, the Institution of Electronics and Telecommunication Engineers, India, and the Institution of Engineering and Technology, U.K. He is an Editor/Associate Editor/Editorial Board for refereed journals, in particular the IEEE SYSTEMS JOURNAL, IEEE Transaction on Industry Applications, IEEE ACCESS, IET Power Electronics, and International Transactions on Electrical Energy Systems Journal, Wiley Publications, and the Subject Editor for the IET Renewable Power Generation, IET Generation, Transmission and Distribution, and FACTS journal (Canada).<br/><br/>Jens Bo Holm-Nielsen currently works at the Department of Energy Technology, Aalborg University and Head of the Esbjerg Energy Section. On this research, activities established the Center for Bioenergy and Green Engineering in 2009 and serve as the Head of the research group. He has vast experience in the field of Bio-refinery concepts and Biogas production–Anaerobic Digestion. Implementation projects of Bio-energy systems in Denmark with provinces and European states. He served as the technical advisory for many industries in this field. He has executed many large scale European Union and United Nation projects in research aspects of Bioenergy, bio refinery processes, the full chain of biogas and Green Engineering. He has authored more than 100 scientific papers. He was a member on invitation with various capacities in the committee for over 250 various international conferences and Organizer of international conferences, workshops and training programmes in Europe, Central Asia and China. Focus areas Renewable Energy - Sustainability - Green jobs for all.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY<br/><br/>This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications.<br/><br/>Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system<br/><br/>Explains AC and DC side of the solar PV system-based electricity generation with real-time examples　　　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　<br/><br/>Covers effective extraction of the energy from solar radiation　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　<br/><br/>Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system　　　　　　　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　<br/><br/>Includes MATLAB® based simulations and results on fault diagnosis including case studies　　　　　　　　　　　　　　　　　　　 　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　<br/><br/>This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 879734
Topical term or geographic name entry element Photovoltaic Power Systems Maintenance and Repair
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Padmanaban, Sanjeevikumar
9 (RLIN) 166400
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Holm-Nielsen, Jens Bo
9 (RLIN) 879739
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term editor
Personal name Pandiyan, P.
9 (RLIN) 879740
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032064260.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781032064260.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.routledge.com/Photovoltaic-Systems-Artificial-Intelligence-based-Fault-Diagnosis-and/Sundaram-Padmanaban-Holm-Nielsen-Pandiyan/p/book/9781032064260#">https://www.routledge.com/Photovoltaic-Systems-Artificial-Intelligence-based-Fault-Diagnosis-and/Sundaram-Padmanaban-Holm-Nielsen-Pandiyan/p/book/9781032064260#</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Purchased by Department/Discipline Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type
    Dewey Decimal Classification Text, Hardcover     Department of Electronic Engineering Reference Section Reference Section Reference Section 13/12/2023 25 Purchased 36433.55   621.31244 SUN 98483 19/02/2024 2023-2024 36433.55 13/12/2023 Reference Collection