Condition Monitoring And Assessment Of Power Transformers Using Computational Intelligence

Author: W.H. Tang
Editor: Springer Science & Business Media
ISBN: 9780857290526
Size: 19,17 MB
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In recent years, rapid changes and improvements have been witnessed in the field of transformer condition monitoring and assessment, especially with the advances in computational intelligence techniques. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence applies a broad range of computational intelligence techniques to deal with practical transformer operation problems. The approaches introduced are presented in a concise and flowing manner, tackling complex transformer modelling problems and uncertainties occurring in transformer fault diagnosis. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence covers both the fundamental theories and the most up-to-date research in this rapidly changing field. Many examples have been included that use real-world measurements and realistic operating scenarios of power transformers to fully illustrate the use of computational intelligence techniques for a variety of transformer modelling and fault diagnosis problems. Condition Monitoring and Assessment of Power Transformers Using Computational Intelligence is a useful book for professional engineers and postgraduate students. It also provides a firm foundation for advanced undergraduate students in power engineering.

Reliability In Power Electronics And Electrical Machines Industrial Applications And Performance Models

Author: Kaboli, Shahriyar
Editor: IGI Global
ISBN: 1466694300
Size: 10,56 MB
Format: PDF, Docs
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In modern industries, electrical energy conversion systems consist of two main parts: electrical machines and power electronic converters. With global electricity use at an all-time high, uninterrupted operation of electrical power converters is essential. Reliability in Power Electronics and Electrical Machines: Industrial Applications and Performance Models provides an in-depth analysis of reliability in electrical energy converters as well as strategies for designing dependable power electronic converters and electrical machines. Featuring a comprehensive discussion on the topics of reliability design and measurement, failure mechanisms, and specific issues pertaining to quality, efficiency, and durability, this timely reference source offers practical examples and research-based results for use by engineers, researchers, and advanced-level students.

Advances In System Optimization And Control

Author: Sri Niwas Singh
Editor: Springer
ISBN: 9811306656
Size: 15,51 MB
Format: PDF, Mobi
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This book comprises select proceedings of the International Conference on Advancement in Energy, Drives, and Control. It covers frontier topics in optimization and control. It covers applications of optimization processes in areas such as computer architecture, communication systems, system optimization, signal processing, fluid dynamics and process control. This book is of use to researchers, professionals, and students from across engineering disciplines.

Smart Innovations In Communication And Computational Sciences

Author: Bijaya Ketan Panigrahi
Editor: Springer
ISBN: 981108968X
Size: 15,23 MB
Format: PDF, Kindle
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The book provides insights into International Conference on Smart Innovations in Communications and Computational Sciences (ICSICCS 2017) held at North West Group of Institutions, Punjab, India. It presents new advances and research results in the fields of computer and communication written by leading researchers, engineers and scientists in the domain of interest from around the world. The book includes research work in all the areas of smart innovation, systems and technologies, embedded knowledge and intelligence, innovation and sustainability, advance computing, networking and informatics. It also focuses on the knowledge-transfer methodologies and innovation strategies employed to make this happen effectively. The combination of intelligent systems tools and a broad range of applications introduce a need for a synergy of disciplines from science and technology. Sample areas include, but are not limited to smart hardware, software design, smart computing technologies, intelligent communications and networking, web and informatics and computational sciences.

Condition Assessment Of High Voltage Insulation In Power System Equipment

Author: R.E. James
Editor: IET
ISBN: 086341737X
Size: 18,76 MB
Format: PDF, ePub
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This book introduces the reader to the major components of a high voltage system and the different insulating materials applied in particular equipments. During a review of these materials, measurable properties suitable for condition assessment are identified. Analyses are included of some of the insulation fault scenarios that may occur in power equipment. The basic facilities for carrying out tests on the internal and external insulation structures at high and low voltages are described. Tests and measurements according to specifications, on-site requirements and research investigations are considered.Advances in the application of digital techniques for detection and analyses of partial discharges are discussed and methods in use, or under development, for service condition monitoring are described. These include the utilisation of new sensors, the solution of online problems associated with noise rejection and the adaptation of artificial intelligence techniques for incipient fault diagnosis.

Bulletin Of Electrical Engineering And Informatics

Author: Tole Sutikno
Editor: Institute of Advanced Engineering and Science
ISBN:
Size: 19,98 MB
Format: PDF, Kindle
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Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, electronics, instrumentation & control, telecommunication, computer and informatics engineering. Vol 2, No 2 June 2013 Table of Contents A Multi-Zone HVAC System for a Typical Building for MATLAB/SIMULINK Platform PDF Ahmad Parvaresh, Seyed Mohammad Ali Mohammadi 83-87 Aspects in Formulating Mathematical Model of Wind Turbine PDF Waleed Khalil Ahmed 88-94 Recent Trends in Power Transformer Fault Diagnosis and Condition Assessment PDF Zakir Husain, Hasmat Malik, Mohd. Arif Khan 95-104 Load Frequency Control in Four Area Power Systems Using Fuzzy Logic PI Controller PDF Ch. Varaha Narasimha Raja 105-110 Voltage Controlled Integrator and Linear Quadrature-VCO Using MMCC PDF P. Venkateswaran, R. Nandi, Sagarika Das 111-116 A Study of image compression based transmission algorithm Using SPIHT for low bit rate application PDF Ritu Chourasiya, Ajit Shrivastava 117-122 Optimized Microstrip Antennas with Metamaterial Superstrates Using Particle Swarm Optimization PDF Nooshin Feiz, Farzad Mohajeri, Anahita Ghaznavi 123-131 GASA-JOSH: A Hybrid Evolutionary-Annealing Approach for Job-Shop Scheduling Problem PDF Somayeh Kalantari, Mohamad Saniee Abadeh 132-140 Adaptive Mobile E-Learning Environment for Improving Educational Process PDF Ahmed A. Saleh, Hazem M. El-Bakry 141-157 Fuzzy Logic in Human Reasoning PDF Michael Gr. Voskoglou 158-168

Advances In Computer Science And Information Engineering

Author: David Jin
Editor: Springer Science & Business Media
ISBN: 3642302238
Size: 15,64 MB
Format: PDF, Kindle
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CSIE2012 is an integrated conference concentrating its focus on Computer Science and Information Engineering . In the proceeding, you can learn much more knowledge about Computer Science and Information Engineering of researchers from all around the world. The main role of the proceeding is to be used as an exchange pillar for researchers who are working in the mentioned fields. In order to meet the high quality of Springer, AISC series, the organization committee has made their efforts to do the following things. Firstly, poor quality paper has been refused after reviewing course by anonymous referee experts. Secondly, periodically review meetings have been held around the reviewers about five times for exchanging reviewing suggestions. Finally, the conference organizers had several preliminary sessions before the conference. Through efforts of different people and departments, the conference will be successful and fruitful.

Electrical Electronics Abstracts

Author:
Editor:
ISBN:
Size: 17,82 MB
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Estimating The Transformer Health Index Using Artificial Intelligence Techniques

Author: Alhaytham Y. Al Qudsi
Editor:
ISBN:
Size: 18,18 MB
Format: PDF, Docs
Read: 332
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"Transformer Asset Management (TAM) is concerned with the strategic activities that monitor and manage the transformer asset in the power system. The outcomes of TAM aim at setting proper monitoring methods and maintenance plans, with minimal cost of time and money. Monitoring methods in the form of electrical, chemical and physical tests are conducted to assess the transformer operational condition. The main part, which is directly related to the ageing of the transformer, is the oil-paper insulation system. The standard practiced monitoring test methods used by TAM companies are considered highly effective and useful. However, a full feedback of the transformer’s condition requires a number of monitoring tests to be conducted. Such an exercise is considered expensive and difficult to implement for some of the tests. Moreover, the individual conducted tests cannot provide a comprehensive understanding of the transformer condition based on a single factor. Thus, the concept of the Health Index (HI) was developed to accurately assess the transformer’s condition and effective remnant age. The main components involved in the HI computation are related to the transformers' insulation condition, service record and design. Finding the transformer HI is normally done through using several industry computational methods. The drawback of these methods is the large number of tests required to achieve high level of condition assessment accuracy. Thus, alternative Artificially Intelligent (AI) methods should be used to design the HI model. AI methods, such as Artificial Neural Networks (ANN), can learn the pattern of the response output (HI), based on a given set of input (monitoring tests). The use of feature selection technique such as stepwise regression, can lead to an effective reduction of redundant tests in the presence of more significant ones. The presented work produces a general cost-effective AI based HI predictor model that can be used by different utility companies. Such a predictor would be able to produce a HI output value with a 95% prediction accuracy using only a subset of the required input features. Furthermore, the model can produce the same prediction accuracy with a predicted costly feature as one of the input features."--Abstract.