Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Shufali Ashraf Wani"'
Publikováno v:
IEEE Access, Vol 10, Pp 18055-18064 (2022)
The main aim of the present study is to explore the use of synthetic ester fluid as a transformer insulant. For this, the performance of thermally aged synthetic ester is investigated using corona inception voltage (CIV) measurement, fluorescent anal
Externí odkaz:
https://doaj.org/article/bf366127599a4028894680144e574a59
Measurement of Moisture in Transformer Insulation Using the Intelligent High-Frequency Sensor System
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-10
Publikováno v:
IEEE Access. 10:18055-18064
Autor:
Ankur Singh Rana, Kolli Jnaneswar, Mouna Krishna Gadhiraju, Neeraj Kumar, Shufali Ashraf Wani, Mini Shaji Thomas
Publikováno v:
Distributed Generation & Alternative Energy Journal.
The transition of the conventional power grid into the smart grid requires continuous monitoring of integrated grids speared over wide-area through Phasor Measurement Units (PMU). These PMUs additionally perform protection and state estimation functi
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 27:2179-2187
A capacitive sensor for assessing early degradation of transformer insulation by detecting 2-furfuraldehyde (2-FAL) at the sub-ppm level in transformer oil is presented in this paper. The sensor uses a molecularly imprinted polymer (MIP) in which 2-F
Publikováno v:
IET Science, Measurement & Technology. 13:959-967
Multiple incipient faults are practically known to exist in transformers. They tend to produce suddenly changing ratio limits in ratio-based methods or oscillation of fault location in graphical methods. In consequence, the energy associated with the
Publikováno v:
Arabian Journal for Science and Engineering. 44:6977-6985
An intelligent transformer fault diagnostic model is the urgent need of reliable power system. To achieve this goal, a diagnostic system using a dissolved gas analysis (DGA)-based fault interpretation matrix (FIM) is proposed. FIM overcomes the issue
For better utilization of electrical energy, real-time estimation of the power flow is required. To collect this real-time information about the energy requirements, a fast and reliable Cyber Physical System (i.e. communication architecture) is essen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c5180a8b21a61db8f14547e0d07a93
https://doi.org/10.1201/9781003048343-5
https://doi.org/10.1201/9781003048343-5
Publikováno v:
IEEE Sensors Journal. 18:7924-7931
A novel capacitive sensor, which can detect 2-Furfuraldehyde (2-FAL, C5H4O2, in ppm order) in transformer oil, is developed. No such sensor is reported earlier in the literature. The 2-FAL is released in transformer oil with the ageing of the transfo
Autor:
Ankur Singh Rana, Shakeb A. Khan, Shiraz Sohail, Shaheen Parveen, Shufali Ashraf Wani, Obaidur Rahman
Publikováno v:
Renewable and Sustainable Energy Reviews. 149:111347
Dissolved Gas Analysis (DGA) is a standout diagnostic strategy to recognise incipient faults and monitor the condition of oil-immersed transformers. It correlates the concentration of various insulation degradation by-products dissolved in oil with t