Intelligent Modelling and Condition Assessment of Power Transformers

Created by W.Langdon from gp-bibliography.bib Revision:1.3963

@Book{Shintemirov:book,
  author =       "Almas Shintemirov",
  title =        "Intelligent Modelling and Condition Assessment of
                 Power Transformers",
  publisher =    "LAP Lambert Academic Publishing",
  year =         "2013",
  month =        "21 " # mar,
  keywords =     "genetic algorithms, genetic programming, power station
                 technology",
  isbn13 =       "978-3659357862",
  URL =          "http://www.amazon.com/Intelligent-Modelling-Condition-Assessment-Transformers/dp/3659357863/ref=sr_1_1?s=books&ie=UTF8&qid=1395766363&sr=1-1",
  URL =          "https://www.lap-publishing.com/catalog/details/store/gb/book/978-3-659-35786-2/intelligent-modelling-and-condition-assessment-of-power-transformers",
  size =         "308 pages",
  abstract =     "Being one of the most expensive and important
                 elements, a power transformer is a highly essential
                 element, whose failures and damage may cause the outage
                 of a power system. In practice, transformer condition
                 assessment is mainly conducted by experts or trained
                 on-site engineers based on a number of diagnostic
                 techniques. In recent years, computational intelligence
                 techniques have been widely used for advancing power
                 transformer condition assessment methods. This book
                 presents a number of novel intelligent techniques and
                 approaches to deal with power transformer winding
                 distortion and deformation assessment problem based on
                 frequency response analysis and incipient faults
                 classification problem in oil-filled power transformers
                 based on dissolved gas analysis. Both theoretical
                 introduction to the subject and practical examples
                 using experimental measurements and simulation results
                 are given. This book will benefit anyone associated
                 with power transformer modelling and conditional
                 assessment. It will also be useful for those working on
                 applying computational intelligence to solving
                 parameter identification and decision making problems
                 in technical systems.",
  notes =        "See\cite{Shintemirov:thesis}",
}

Genetic Programming entries for Almas Shintemirov

Citations