A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
A novel method for life estimation of power transformers using fuzzy logic systems: An intelligent predictive maintenance approach
Tekijät: Naeem Muhammad Farhan, Hashmi Khurram, Kashif Syed Abdul Rahman, Khan Muhammad Mansoor, Alghaythi Mamdouh L., Aymen Flah, Ali Samia G., AboRas Kareem M., Ben Dhaou Imed
Kustantaja: FRONTIERS MEDIA SA
Julkaisuvuosi: 2022
Journal: Frontiers in Energy Research
Tietokannassa oleva lehden nimi: FRONTIERS IN ENERGY RESEARCH
Lehden akronyymi: FRONT ENERGY RES
Artikkelin numero: 977665
Vuosikerta: 10
Sivujen määrä: 20
ISSN: 2296-598X
DOI: https://doi.org/10.3389/fenrg.2022.977665
Verkko-osoite: https://doi.org/10.3389/fenrg.2022.977665
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/176902095
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
