Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Md. Manzar Nezami"'
Autor:
Md. Manzar Nezami, Md. Danish Equbal, Md. Fahim Ansari, Majed A. Alotaibi, Hasmat Malik, Fausto Pedro García Márquez, Mohammad Asef Hossaini
Publikováno v:
IET Electric Power Applications, Vol 18, Iss 4, Pp 477-488 (2024)
Abstract Avoiding financial losses requires preventing catastrophic oil‐filled power transformer breakdowns. Continuous online transformer monitoring is needed. The authors use paper insulation to evaluate transformer health for continuous online t
Externí odkaz:
https://doaj.org/article/24c0a1c78e9f47bfb3e7ad32c270363c
Autor:
Robin Singh Bhadoria, Hatim Ghazi Zaini, Md. Manzar Nezami, Md. Danish Equbal, Elfatih Elmubarak Mustafa, Sherif S. M. Ghoneim
Publikováno v:
IEEE Access, Vol 10, Pp 61385-61397 (2022)
The rapid growth of technologies like the Internet of Things (IoT) has thrown newer challenges to resource management, making it one of the crucial tasks in dynamic application scenarios of IoT. Service-Oriented Architecture (SOA) plays an important
Externí odkaz:
https://doaj.org/article/baa1d82d09c44cff8e7a8067b75e18ca
Autor:
Md. Danish Equbal, Md. Manzar Nezami, Hythem Hashem, Mohit Bajaj, Tahir Khurshaid, Sherif S. M. Ghoneim, Salah Kamel
Publikováno v:
Frontiers in Energy Research, Vol 10 (2022)
E-Nose finds its use in a wide range of applications such as quality assessment in food processing to toxic gas identification in chemical industry either in the offline or online mode. Their usage can be extended to transformer condition monitoring
Externí odkaz:
https://doaj.org/article/150c98714a7d4262a31712ffba387ec3
Autor:
Robin Singh Bhadoria, Naman Bhoj, Hatim G. Zaini, Vivek Bisht, Md. Manzar Nezami, Ahmed Althobaiti, Sherif S. M. Ghoneim
Publikováno v:
Applied Sciences, Vol 11, Iss 24, p 11988 (2021)
Advancement in network technology has vastly increased the usage of the Internet. Consequently, there has been a rise in traffic volume and data sharing. This has made securing a network from sophisticated intrusion attacks very important to preserve
Externí odkaz:
https://doaj.org/article/20e39dbb2add41b89e0e2d94249d7847
Publikováno v:
2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad0c50395b2f82a9ebb8961135db4dc4
https://doi.org/10.1109/csnt57126.2023.10134644
https://doi.org/10.1109/csnt57126.2023.10134644
Publikováno v:
Arabian Journal for Science and Engineering. 46:1541-1547
In this work, a fine correlation among destructive and diagnostic parameters of transformer’s paper insulation is presented. The degree of polymerization (DP) directly assesses the condition of the paper insulation strength and is measured through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::032d06ef509a9da35042cc0a3ea2139d
https://doi.org/10.1007/s13369-020-05180-4
https://doi.org/10.1007/s13369-020-05180-4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b9127642b0169171ce5fbd6f20ffa9c
https://doi.org/10.1109/tdei.2020.008889
https://doi.org/10.1109/tdei.2020.008889
Publikováno v:
Processes
Volume 9
Issue 6
Processes, Vol 9, Iss 981, p 981 (2021)
Volume 9
Issue 6
Processes, Vol 9, Iss 981, p 981 (2021)
The state of cellulosic solid kraft paper (CSKP) insulation, to a large extent, is an indication of a transformer’s health. It not only reflects the condition of transformer but also diagnose its residual life. The quantity of 2-furfuraldehyde (2-F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a67fa208a136e2510e1da032cdba2cf
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdc03590ebfb476a06e6eb816999d47
https://doi.org/10.1109/jsen.2018.2864793
https://doi.org/10.1109/jsen.2018.2864793