It takes the average reader 3 hours and 35 minutes to read Artificial Neural Network And Power System Harmonics Detection by DR. DHARMENDRA KUMAR SINGH
Assuming a reading speed of 250 words per minute. Learn more
Preface The objective of this book is to introduce an artificial neural network based solution for the problem of measuring the actual amount of harmonics injected into a power network by an individual nonlinear load. In this modern era, the demand for electrical and electronics system has increased so much that it has become very hard to do without it. Now a day, a smooth life cannot be expected without electrical energy. Today, electrical and electronic devices are used in every area may it be homes, offices, markets, traffic, education, health, service, defence, communication, sports, industries etc. In recent years, neural network has got special attention by the researchers because of its simplicity, learning and generalization ability and it has been applied in the field of engineering. The theory of neural network is becoming more and more mature and is also making certain breakthrough progress in various fields. It has the advantages of parallel information processing, learning, distribution patterns and memory which can be used in the measurement of the harmonic to construct an appropriate network. The book is intended to provide a compressive knowledge in the field of power system harmonics, source of harmonics, power quality and artificial neural network. The students of both undergraduates and postgraduates’ college will find the book quite simple and informatics. A number of colleagues and friends of author have contributed significantly through their constructive critism in the evolution and preparation of the book manuscript. The authors are thankful to them for their continued support without which this book would not been possible. The author would like to thank Mr. Akash Deep Jain for showing interest in this book. I grateful to Standard Book House U/o Rajsons Publications Pvt Ltd, Delhi and his entire production team for their spontaneous help and assistance in developing and publishing the book in its present form. I am indebted to many individuals for their support and guidance. I would like to express my sincere gratitude to my advisor Professor A.S.Zadgaonkar. His mentoring, guidance, constant encouragement and the countless enlightening conversations have not only helped me achieve this goal, but will also help me as an engineer in the years to come. It was an honor for me to work under his exemplary supervision. I wish to thank Mrs. A.S.Zadgaonkar for her love and blessing, when we discussed the topic at her home. She lovingly ensured a continuous supply of tea, snacks and sweets for refreshment. Nothing in life is possible without the love and support from one’s family. I would like to thank my whole family for their sacrifices, patience, support and unconditional love. I would also like to thank my Baua and Kanha for their constant support and love. Last but not the least; I would like to express my undying love and gratitude to my mother and father for a lifetime of support, encouragement and education. Their love and blessings made everything I have accomplished possible. I also thanks Mr. Akhilesh Singh, Avinash Singh, Birendra Kumar Singh, Sunil Singh, Amrendra Kumar, Santosh Kumar, Naveen, Govind, Golu, Annu, Kanahiya, Chanda, Tara, Nanhi, Lakho, Sitara, Akah, Mukhiya, Last but not least Author thanks the Almighty for giving him enough momentum and enthusiasm in creating a proper paradigm and platform for successful completion of this book. Dr. DHARMENDRA KUAR SINGH
Artificial Neural Network And Power System Harmonics Detection by DR. DHARMENDRA KUMAR SINGH is 213 pages long, and a total of 53,889 words.
This makes it 72% the length of the average book. It also has 66% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 4 hours and 54 minutes to read Artificial Neural Network And Power System Harmonics Detection aloud.
Artificial Neural Network And Power System Harmonics Detection is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
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