Evaluation of Capacitance and Dielectric Dissipation Factor of Distribution Transformers - Experimental Results

Faria, Gabriel; Pereira, Matheus; Lopes, G. P.; Villibor, Jansen; Tavares, P.; Faria, Ivan P.

doi:10.1109/eic.2018.8481052

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…The DF is one of the most effective ways for identifying moisture and pollution within a transformer, although it is also affected by bushing conditions and testing conditions. The capacitance measurement (as part of the DF test) can assist in determining whether the coil has moved in bulk or whether a layer of insulation has been shorted (Faria et al, 2018). Figure 14 shows that a total of 19 rules are used to develop the fuzzy submodel for the determination of dissipation factor of the insulation system.…”

Section: Fuzzy Sublogic Based On Dissipation Factor Of the Insulation...mentioning

confidence: 99%

A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach

et al. 2022

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Power transformers are a fundamental component of the modern power distribution network. The fault-free operation of step-up and step-down transformers is of prime importance to the continuous supply of electrical energy to the consumers. To ensure such efficient operation, power distribution companies carry out routine maintenance of distribution transformers through preplanned schedules. The efficacy of such maintenance depends on a proper understanding of the transformer and its components and efficient prediction of faults in these components. There are several components whose condition can be studied to predict transformer failures and therefore the overall health of a transformer. These include transformer windings, insulations, transformer oil, core insulations, and ferromagnetic cores. This work develops a new, simplified fuzzy logic–based method to predict the health of a transformer by taking into account the state of several individual components. Case studies are used to demonstrate the efficacy of the developed method.

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Section: Fuzzy Sublogic Based On Dissipation Factor Of the Insulation...mentioning

confidence: 99%

A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach

et al. 2022

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“…For a healthy medium motor, the leakage current at power frequency is conventionally up to dozens of milliamperes [7]. The leakage current of a healthy industrial transformer is conventionally in a few milliamperes [8].…”

Section: Introductionmentioning

confidence: 99%

Analytical Analysis and Design of an Advanced Differential-Mode Current Sensor for Insulation Monitoring for Industrial Electrical Assets

Zhang

2020

IEEE Access

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Some industrial incidents are attributed to insulation degradation of electrical assets. The leakage current can be a crucial indicator for online insulation monitoring of asset. To realize per-phase monitoring, the measurement accuracy of milliampere-level leakage current is limited by the strong load current noises. This paper proposes an advanced current sensor with a dual-core topology based on differential-mode (DM) measurement. An analytical model of magnetic field of the dual-core sensor is originally presented. It helps clarify the significances of the inner core in filtering noises and reducing the influence of system operation and cable positioning. Then, a comprehensive design procedure is fully investigated by selecting the optimal position and approach for magnetic field detection, and a high-speed and low-noise signal conditioning circuit is presented. The proposed current sensor is tested in the laboratory. Experimental results indicate that measurement errors can remain within 0.1mA in the testing scope, where the load current is up to 100A and the DM current varies from 0-7mA. The proposed sensor is further validated with superior performance compared with two commercial industrial sensors. The contribution of this paper lies in providing the analytical analysis and design of a novel DM current sensor for leakage current measurement, which achieves online per-phase insulation monitoring for industrial electrical assets.

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Smart asset management system for power transformers coupled with online and offline monitoring technologies

Biçen,

Aras

2023

Engineering Failure Analysis

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Evaluation of Capacitance and Dielectric Dissipation Factor of Distribution Transformers - Experimental Results

Cited by 7 publications

References 2 publications

A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach

A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach

Analytical Analysis and Design of an Advanced Differential-Mode Current Sensor for Insulation Monitoring for Industrial Electrical Assets

Smart asset management system for power transformers coupled with online and offline monitoring technologies

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