Topic
Dissolved gas analysis
About: Dissolved gas analysis is a research topic. Over the lifetime, 1308 publications have been published within this topic receiving 17254 citations.
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TL;DR: In this article, the authors present a more user-friendly graphical form of the IEC TC10 databases of DGA results corresponding to faults identified by visual inspection of faulty transformers in service.
Abstract: IEC Publication 60599 provides a coded list of faults detectable by dissolved gas analysis (DGA): PD = partial discharges; D1 = discharges of low energy; D2 = discharges of high energy; T1 = thermal faults of temperature 700/spl deg/C. The IEC TC10 databases of DGA results corresponding to faults identified by visual inspection of faulty transformers in service have been presented in a previous paper (see IEEE Elec. Insulation Mag., vol. 17, no. 2, p.31-41, 2001). The present paper reviews these DGA results in a more user-friendly graphical form. It also reviews the DGA results of laboratory models attempting to simulate these faults, as published in the scientific literature or technical reports. The specific case of on-load tap changers (OLTC) is reviewed much more extensively, and separately, since DGA interpretation in this case must take into account the large background of residual gases resulting from the normal current-breaking operation of the OLTC. Particular attention is also given to DGA results related to PDs and low-temperature thermal faults.
531 citations
TL;DR: In this article, the Buchholz relay was used to detect incipient faults in oil immersed transformers by examination of the gases dissolved in the oil developed from the original Buchholtz relay application.
Abstract: The detection of incipient faults in oil immersed transformers by examination of the gases dissolved in the oil developed from the original Buchholz relay application. The gases produced during the deterioration of mineral oil and cellulose were examined and techniques were established to assist in the interpretation of the type of fault, incipient or growing, occurring within the transformer. The major technique now employed is the study of ratios of pairs of certain deterioration gases. The concepts used in the development of this technique and the modifications made to enable the technique to be established as the present method of fault interpretation, recommended by the IEC are discussed.
458 citations
TL;DR: In this article, an artificial neural network (ANN) approach to the diagnosis and detection of faults in oil-filled power transformers based on dissolved gas-in-oil analysis is presented.
Abstract: This paper presents an artificial neural network (ANN) approach to the diagnosis and detection of faults in oil-filled power transformers based on dissolved gas-in-oil analysis. A two-step ANN method is used to detect faults with or without cellulose involved. Good diagnosis accuracy is obtained with the proposed approach.
335 citations
TL;DR: In this article, the use of dissolved gas analysis (DGA) to monitor the in-service behavior of transformers is discussed, and two commercial hydrogen-in-oil detectors are described.
Abstract: The use of dissolved gas analysis (DGA) to monitor the in-service behavior of transformers is discussed. Sampling techniques are briefly considered, and two commercial hydrogen-in-oil detectors are described. The first allows the hydrogen concentration to be measured at intervals of a few hours by a portable gas collector that can be connected to semipermeable tubes. Continuous remote monitoring from the substation is possible with the second model, which uses a fuel-cell-type detector. The use of DGA for fault diagnosis is examined, and acceptable gas levels are indicated. The use of expert systems to facilitate decision making on the basis of DGA results is discussed, as is international cooperation in sharing data and experience and reaching agreement on methods of analysis and interpretation. Further applications of DGA are indicated. >
333 citations
TL;DR: In this paper, a fuzzy logic technique is used to diagnose multiple faults in a transformer and quantitatively indicate the likelihood/severity of each fault, which is important for a transformer in critical situation.
Abstract: Dissolved gas analysis (DGA) of transformer oil has been one of the most useful techniques to detect the incipient faults. Various methods, such as the IEC codes, have been developed to interpret DGA results directly obtained from a chromatographer. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when more than one fault exists in a transformer. This paper presents a fuzzy logic technique which can diagnose multiple faults in a transformer and quantitatively indicates the likelihood/severity of each fault. Insulation deterioration at each fault location can then be monitored closely according to its trend, which is important for a transformer in critical situation. Tests using this technique on a number of transformers have given promising results.
298 citations