IEEE Organizations related to Dissolved Gas Analysis

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Conferences related to Dissolved Gas Analysis

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2008 7th World Congress on Intelligent Control and Automation (WCICA 2008)

Intelligent control and automation



Periodicals related to Dissolved Gas Analysis

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Electrical Insulation Magazine, IEEE

The magazine covers theory, analysis, design (computer-aided design), and practical implementation of circuits, and the application of circuit theoretic techniques to systems and to signal processing. Content is written for the spectrum of activities from basic scientific theory to industrial applications.


Power Delivery, IEEE Transactions on

Research, development, design, application, construction, the installation and operation of apparatus, equipment, structures, materials, and systems for the safe, reliable, and economic delivery and control of electric energy for general industrial, commercial, public, and domestic consumption.



Most published Xplore authors for Dissolved Gas Analysis

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Xplore Articles related to Dissolved Gas Analysis

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The application analysis of the on-line monitoring system of dissolved gas in transformer oil

Li Yanming; Liu Gang; Liang Ying; Xing Yan 2007 Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, 2007

Technology of on-line monitoring of dissolved gas in transformer oil is the focus of attention nowadays. As the technologies of computer, macromolecule materials and optical spectrum analysis develop rapidly, the on-line monitoring devices are more and more perfect and are used more popular in electric power production. In this paper, the on-line monitoring device of dissolved gas in transformer oil ...


IEEE Draft Guide for Dissolved Gas Analysis in Transformer Load Tap Changers

IEEE C57.139/D14June 2010, 2010

This guide discusses and recommends methods of testing and evaluating dissolved gases in mineral based transformer oils found in Load Tap Changers (LTCs). General types of LTC mechanisms, breathing configurations and electrical design will be included as evaluation criteria in determining when mechanical damage or failure has occurred. Dissolved Gas of the LTC is required. This guide will not be ...


New Apparatus for Detecting H2, CO, and CH4 Dissolved in Transformer Oil

H. Tsukioka; K. Sugawara; E. Mori; S. Hukumori; S. Sakai IEEE Transactions on Electrical Insulation, 1983

This report presents a new method of separating H2, CO, CH4, C2H2, C2H4, and C2H6 dissolved in transformer oil and detecting H2, CO, and CH4, in which a tetrafluoroethylene-perfluoroalkylvinylether copolymer membrane is used to separate gases from the oil. The quantities of H2, CO, and CH4 that permeated through the membrane were relatively large. These gases were detected with a ...


Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs

Hyoil Kim; Kang G. Shin 2010 Proceedings IEEE INFOCOM, 2010

In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, power for adaptive coverage, and Consumer Premise Equipments (CPEs) to associate with, while maximizing the total downstream capacity of CPEs. Although joint power and channel allocation is a classical problem, resource allocation in WRANs faces ...


Abductive network model-based diagnosis system for power transformer incipient fault detection

Y. -C. Huang; H. -T. Yang; K. -Y. Huang IEE Proceedings - Generation, Transmission and Distribution, 2002

An abductive network model (ANM)-based diagnosis system for power transformers fault detection is presented that enhances the diagnostic accuracy of the power transformer incipient fault. The ANM formulates the diagnosis problem into a hierarchical architecture with several layers of function nodes of simple low-order polynomials. The ANM links the complicated and numerical knowledge relationships of diverse dissolved gas contents in ...


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Educational Resources on Dissolved Gas Analysis

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eLearning

The application analysis of the on-line monitoring system of dissolved gas in transformer oil

Li Yanming; Liu Gang; Liang Ying; Xing Yan 2007 Annual Report - Conference on Electrical Insulation and Dielectric Phenomena, 2007

Technology of on-line monitoring of dissolved gas in transformer oil is the focus of attention nowadays. As the technologies of computer, macromolecule materials and optical spectrum analysis develop rapidly, the on-line monitoring devices are more and more perfect and are used more popular in electric power production. In this paper, the on-line monitoring device of dissolved gas in transformer oil ...


IEEE Draft Guide for Dissolved Gas Analysis in Transformer Load Tap Changers

IEEE C57.139/D14June 2010, 2010

This guide discusses and recommends methods of testing and evaluating dissolved gases in mineral based transformer oils found in Load Tap Changers (LTCs). General types of LTC mechanisms, breathing configurations and electrical design will be included as evaluation criteria in determining when mechanical damage or failure has occurred. Dissolved Gas of the LTC is required. This guide will not be ...


New Apparatus for Detecting H2, CO, and CH4 Dissolved in Transformer Oil

H. Tsukioka; K. Sugawara; E. Mori; S. Hukumori; S. Sakai IEEE Transactions on Electrical Insulation, 1983

This report presents a new method of separating H2, CO, CH4, C2H2, C2H4, and C2H6 dissolved in transformer oil and detecting H2, CO, and CH4, in which a tetrafluoroethylene-perfluoroalkylvinylether copolymer membrane is used to separate gases from the oil. The quantities of H2, CO, and CH4 that permeated through the membrane were relatively large. These gases were detected with a ...


Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs

Hyoil Kim; Kang G. Shin 2010 Proceedings IEEE INFOCOM, 2010

In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, power for adaptive coverage, and Consumer Premise Equipments (CPEs) to associate with, while maximizing the total downstream capacity of CPEs. Although joint power and channel allocation is a classical problem, resource allocation in WRANs faces ...


Abductive network model-based diagnosis system for power transformer incipient fault detection

Y. -C. Huang; H. -T. Yang; K. -Y. Huang IEE Proceedings - Generation, Transmission and Distribution, 2002

An abductive network model (ANM)-based diagnosis system for power transformers fault detection is presented that enhances the diagnostic accuracy of the power transformer incipient fault. The ANM formulates the diagnosis problem into a hierarchical architecture with several layers of function nodes of simple low-order polynomials. The ANM links the complicated and numerical knowledge relationships of diverse dissolved gas contents in ...


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IEEE-USA E-Books

  • Conclusions and Future Research

    This conclusion presents an overview of the key concepts discussed in the previous chapters of this book. The book introduces the properties of oil???paper insulation systems used in transformers. A comprehensive discussion on the ageing of oil???paper insulation systems has been provided, in the context of transformer operating conditions. For better understanding, thermal, oxidative, and hydrolytic ageing effects on insulation materials are discussed, to relate these ageing effects to transformer condition monitoring methodologies. The book provides a foundation for understanding a number of chemical and electrical???based diagnostics, and also helps the reader to relate the diagnosis with the cause of insulation ageing. Among the chemical???based techniques, dissolved gas analysis (DGA), furan analysis, and degree of polymerization (DP) are the most commonly used diagnosis techniques. Time domain dielectric response diagnosis techniques, which include polarization???depolarization current (PDC) and recovery voltage measurements (RVM), are explained from theoretical to practical points of view.

  • Overview of Insulation Diagnostics

    A number of chemical???based diagnostic techniques are used extensively by practicing engineers and specialists to assess the insulation condition of aged transformers. Most commonly used chemical???based diagnostics include moisture analysis in transformer oil, dissolved gas analysis (DGA), furan analysis by high???performance liquid chromatography (HPLC), and molecular weight assessment by degree of polymerization (DP) measurement using the viscometry method. Among electrical???based diagnostics, insulation resistance, power frequency dissipation factor, polarization index, and partial discharge (PD) measurements have been used widely. The monitoring of furanic compounds by oil analysis using HPLC has been used widely by utilities for the last few decades. Insulation resistance and polarization index have long been used by the electricity utilities to ascertain the moisture condition of transformers. The capacitance of a transformer depends on the characteristics of the dielectric material and the physical size of the insulation system. The capacitance value can change by degradation of the insulation, contamination, and physical damage.

  • Biodegradable Oils and their Impact on Paper Ageing

    Mineral oils are still the preferred choice for insulation and cooling purposes in liquid???filled transformers due to their low cost and excellent dielectric properties. This chapter provides a better understanding of the chemistry of biodegradable oil, including chemical composition and degradation mechanisms. It discusses the application of existing chemical and electrical???based condition monitoring tools for biodegradable oil???filled transformers. It summarizes the results of some laboratory investigations into 2???furfural (2???FAL) analysis of ester???based insulation systems. The chapter presents three case studies to enhance the understanding of gassing behavior of different insulating oils. The use of a Dissolved Gas Analysis (DGA) interpretation scheme for ester insulation is also discussed. The case studies presented in the chapter underline the requirement for revisions of international standards used for quality assurance of mineral insulating oil to comply with ageing and gassing behavior of ester insulating oils.

  • Substations

    This chapter discusses the major types of equipment found in most transmission and distribution substations. It describes the purpose, function, design characteristics and key properties. The substation equipment discussed in the chapter include: transformers, regulators, circuit breakers and reclosers, air disconnect switches, lightning arresters, electrical bus, capacitor banks, reactors, static VAR compensators and control building. Electric power systems have many ways to perform preventive maintenance. Scheduled maintenance programs, site inspections, routine data collection, and analysis are very effective. An enhanced or a more effective means of performing preventive maintenance is predictive maintenance. Sometimes this is called "condition based maintenance" where maintenance is based on measured or calculated need rather than just a schedule. Predictive maintenance can identify potential serious problems before they occur. Two very effective predictive maintenance programs or procedures are infrared scanning and dissolved gas analysis testing.

  • Dissolved Gas Analysis Interpretation and Intelligent Machine Learning Techniques

    This chapter provides a comprehensive study on intelligent Dissolved Gas Analysis (DGA) interpretation techniques and their applications in power transformer condition assessment. It summarizes some major work and contributions from CIGRE in dissolved gas measurement and its interpretation. The chapter discusses the experience of using propene and propane as a new tool for DGA interpretation and identifies the drawbacks and uncertainties of the conventional DGA interpretations. It proposes a general framework for applying intelligent pattern recognition techniques to transformer insulation diagnosis and provides a literature review on various pattern recognition algorithms for transformer insulation diagnosis. To overcome the drawbacks of the conventional pattern recognition techniques for health assessment of power transformers, a hybrid SMOTEBoost algorithm is introduced. This hybrid algorithm can facilitate pattern recognition algorithms, achieving desirable diagnosis accuracy and generalization capability. The chapter presents a case study to illustrate the procedure of applying pattern recognition techniques and the SMOTEBoost algorithm to practical transformer insulation diagnosis.



Standards related to Dissolved Gas Analysis

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Guide for interpretation of gasses generated in silicone-immersed transformers

This guide is intended to apply to silicone-immersed transformers in which the silicone fluid was the fluid supplied when the transformer was originally manufactured. This guide also addresses the following: a) The theory of combustible gas generation in a silicone-immersed transformer; b) Recommended procedures for sampling and analysis; c) The interpretation of Gas Analysis; d) Recommended actions based on the ...



Jobs related to Dissolved Gas Analysis

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