A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer

Su, Qi; Mi, Chunqiao; Lai, Loi Lei; Austin, P.

doi:10.1109/59.867146

Cited by 285 publications

(89 citation statements)

References 7 publications

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“…Papers have reported improved results as compared to conventional methods for fault detection of power transformer [28][29][30][31][32][33][34][35][36][37]. It has been claimed that the methods are capable of detecting incipient faults.…”

Section: Downloaded By [Dokuz Eylul University ] At 05:28 02 Novembermentioning

confidence: 98%

Advances in Transformer Protection: A Review

Tripathy

Maheshwari

Verma

2005

Electric Power Components and Systems

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In this article, an attempt is made to put together developments in digital relays for protection of power transformer. Efforts have been made to include all the techniques and philosophies used to that end. The article includes the most recent techniques, like artificial neural network (ANN) and fuzzy logic concepts, as well as other conventional methods used for transformer protection. Only a brief mention is made about conventional methods, while more emphasis is given on the application of ANN and fuzzy techniques for the protection of power transformer. This article presents a set of references of all concerned papers and provides a brief summary of the work presented in them.It also presents the results of these techniques as provided in the respective references.

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Section: Downloaded By [Dokuz Eylul University ] At 05:28 02 Novembermentioning

confidence: 98%

Advances in Transformer Protection: A Review

Tripathy

Maheshwari

Verma

2005

Electric Power Components and Systems

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“…ANN's have been used for transformer fault diagnosis using DGA [16][17][18][19][20][21][22][23]. IEC/IEEE method has been widely used to compare the results of AI techniques application to fault diagnosis of transformer [1,7,[10][11][12]14,17,18,21,24,25]. DGA is also used for on line assessment of transformer condition [26,27] and off line new methods using sweep frequency response analysis are now being extensively used [28].…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy systems have been developed for fault diagnosis in transformers [9][10][11][12][13][14][15], which were built according to the DGA methods and the knowledge of the expert. ANN's have been used for transformer fault diagnosis using DGA [16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis

Bhalla¹,

Bansal²,

Gupta

2012

International Journal of Electrical Power & Energy Systems

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“…( ) 32 17 (7,5), (8,5), (9,6), (10,6), (11,7), (12,7), (13,8), (13,9), (14,8), (14,9), (14,10), (15,9), (15, 10)}; Otherwise, 0 ij s = ,…”

Section: Frsn P Systems Diagnosis Matrix Reasoning Stepsmentioning

confidence: 99%

“…( ) 32 17 (2,17), (3,18), (4,19), (5,20), (6,21), (7,22), (8,23), (9,24), (10,25), (11,26), (12,27), (13,28), (14,29), (15,30), (16,31), (17, 32)}; Otherwise, 0…”

Section: Frsn P Systems Diagnosis Matrix Reasoning Stepsmentioning

confidence: 99%

Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems

Yahya¹,

Ai²,

Yahya³

2016

JILSA

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This paper presents an intelligent technique to fault diagnosis of power transformers dissolved and free gas analysis (DGA). Fuzzy Reasoning Spiking neural P systems (FRSN P systems) as a membrane computing with distributed parallel computing model is powerful and suitable graphical approach model in fuzzy diagnosis knowledge. In a sense this feature is required for establishing the power transformers faults identifications and capturing knowledge implicitly during the learning stage, using linguistic variables, membership functions with "low", "medium", and "high" descriptions for each gas signature, and inference rule base. Membership functions are used to translate judgments into numerical expression by fuzzy numbers. The performance method is analyzed in terms for four gas ratio (IEC 60599) signature as input data of FRSN P systems. Test case results evaluate that the proposals method for power transformer fault diagnosis can significantly improve the diagnosis accuracy power transformer.

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A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer

Cited by 285 publications

References 7 publications

Advances in Transformer Protection: A Review

Advances in Transformer Protection: A Review

Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis

Power Transformer Fault Diagnosis Using Fuzzy Reasoning Spiking Neural P Systems

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