Online condition monitoring and diagnosis techniques for dry type transformers incipient fault analysis through finite element modelling

Subramaniam, Aravinth; Bhandari, Saurabh; Bagheri, Mehdi; Sivakumar, Nadarajan; Gupta, Amit Kumar; Panda, Sanjib Kumar

doi:10.1109/itec-ap.2016.7512916

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General Review Of Traditional Monitoring Techniques1

Introduction1

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Cited by 11 publications

(2 citation statements)

References 8 publications

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“…The paper aims to present a synthesis of the diagnostic methods that have been recently developed. Each technique is analysed based on the ability to detect incipient faults, the possibility of application in dry insulation transformers, the quickness to identify a fault, the cost of implementation, and the degree of reliability among other characteristics [32].…”

Section: General Review Of Traditional Monitoring Techniquesmentioning

confidence: 99%

Power transformers monitoring based on electrical measurements: state of the art

Meira

Ruschetti

Alvarez³

et al. 2018

IET Generation, Transmission & Distribution

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Section: General Review Of Traditional Monitoring Techniquesmentioning

confidence: 99%

Power transformers monitoring based on electrical measurements: state of the art

Meira

Ruschetti

Alvarez³

et al. 2018

IET Generation, Transmission & Distribution

View full text Add to dashboard

“…Use of finite-element simulation software to simulate the structure of the core [7] and winding, or other real-time electromagnetic field distribution to determine the state of the winding, can determine whether the transformer is functioning normally [8]. Simulation methods can detect winding faults, but lack of operating data limits their practical use.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults

Yang¹,

Su²,

Chen³

2017

Energies

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Abstract:Monitoring of winding faults is the most important item used to determine the maintenance status of a transformer. Commonly used methods for winding-fault diagnosis require the transformer to exit operation before testing and an external exciting signal, whether the transformer is malfunctioning or not. However, if an overvoltage signal can be regarded as a broadband excitation source for fault diagnosis, then the interference caused by signal injection can be eliminated without the need for additional pulse or impulse signals. In this paper, a tapped transformer is designed and test platforms are built to compare winding diagnoses using the impulse wave and sweep frequency response analysis methods by recording voltage responses on both the high-and low-voltage sides and calculating the respective transfer functions. Based on comparison of statistical indicators, it is found that the sensitivities of both methods are similar for detecting conditions of winding-ground and winding-interlayer short circuits. It is concluded that it is feasible to use a transient overvoltage monitoring system for winding-fault diagnosis.

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Online condition monitoring and diagnosis techniques for dry type transformers incipient fault analysis through finite element modelling

Cited by 11 publications

References 8 publications

Power transformers monitoring based on electrical measurements: state of the art

Power transformers monitoring based on electrical measurements: state of the art

Comparison of Impulse Wave and Sweep Frequency Response Analysis Methods for Diagnosis of Transformer Winding Faults

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