Determination of transformer life expectancy

Mann, P.

doi:10.1109/ee.1963.6540988

Cited by 2 publications

(2 citation statements)

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“…Because temperature distribution is not uniform, the area operating at the highest temperature usually suffers the most degradation. As a result, the winding hot spot temperature can be used to describe the rate of aging (Mann, 2013). In this case, the relative aging rate V is defined as follows:…”

Section: Remnant Life Of the Transformer Based On The Relative Aging ...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: Remnant Life Of the Transformer Based On The Relative Aging ...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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“…Oil-immersed Distributed Solar Photovoltaic (DSPV) system transformers are commonly designed for a service lifetime of about 30 years [1], [2]. During service, the cellulose insulation degrades under the interactive effects emanating from electrical, thermal and chemical components.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach for Estimating the Service Lifetime of Transformers within Distributed Solar Photovoltaic (DSPV) Systems

Thango¹,

Jordaan²,

Nnachi³

2021

Adv. sci. technol. eng. syst. j.

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The rapid transformation of the energy sector in South Africa towards renewable energy (RE) production calls for the management of assets to keep pace with the ongoing developments in a reliable manner. Aging assets, increasing energy needs and reliable supply of energy without load shedding are some of the challenges utilities are facing in South Africa. In resolving these challenge, imaginative solutions are required to maintain the installed assets and determining the viability of refurbishment, replacement or upgrading. In the current work, an extension of the author's previous work, a novel approach for estimating the service lifetime of transformers within Distributed Solar Photovoltaic (DSPV) Systems in South Africa is introduced. This experiential form has been derived by extensive experimental trials. The proposed approach is initially employed to evaluate the Degree of polymerization (DP) of cellulose insulation based on measured furan (2FAL) contents of 9 case scenarios. The calculated DP is then used to evaluate the service lifetime of these units. In efforts to authenticate the proposed approach, a comparative study is conducted against 5 other models. Finally, the proposed approach is compared with the results of the measured DP. It is observed that the proposed approach produce accurate estimates with an approximation not exceeding 1% and 2.2% from the measured DP and service lifetime respectively.

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Determination of transformer life expectancy

Cited by 2 publications

References 0 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

A Novel Approach for Estimating the Service Lifetime of Transformers within Distributed Solar Photovoltaic (DSPV) Systems

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