Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Reza Pourramezan"'
Publikováno v:
ACS Omega, Vol 9, Iss 1, Pp 1398-1415 (2023)
Externí odkaz:
https://doaj.org/article/5968c6b8148349a5bea3cf7c97621686
Publikováno v:
Lubricants, Vol 11, Iss 9, p 382 (2023)
Predictive maintenance of mechanical systems relies on accurate condition monitoring of lubricants. This study assesses the performance of soft computing models in predicting the elemental spectroscopy (Fe, Pb, Cu, Cr, Al, Si, and Zn) of engine lubri
Externí odkaz:
https://doaj.org/article/75ee3825a05445f28aadc570130a1246
Publikováno v:
IEEE Transactions on Smart Grid. 13:564-575
The proliferation of phasor measurement units (PMUs) presents new challenges in archiving and processing large amounts of synchrophasor data which necessitates advanced data compression methods. This paper proposes a singular value decomposition (SVD
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21dfae9b1deabdcacfb175cc221c384
https://doi.org/10.1109/tsg.2021.3114585
https://doi.org/10.1109/tsg.2021.3114585
Condition monitoring is a primary principle for predictive maintenance. In this regard, several techniques have been employed, each of which has its strengths and weaknesses. In this work, the relationships between the electrical (ε', ε", tan δ) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f442bf034dbd25ba58aaa2b394c9f5f
Publikováno v:
Neural Computing and Applications. 34:5465-5477
Evaluating the condition of the lubricant plays an influential role in the maintenance engineering of mechanical systems. This study has several objectives and finally offers a method based on the neural network. That method uses more limited indicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06d533ffe82bcbc591c433d00734ee54
https://doi.org/10.1007/s00521-021-06688-y
https://doi.org/10.1007/s00521-021-06688-y
Publikováno v:
IEEE Transactions on Smart Grid. 12:2402-2412
Phasor data concentrators (PDCs) are essential functions in synchrophasor networks that collect and aggregate phasor measurement unit (PMU) data from across the electric grid. PDC buffers synchrophasor datasets during the “wait time” period, then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46e14e02c8d319560b6f4741a1f4c67d
https://doi.org/10.1109/tsg.2020.3046639
https://doi.org/10.1109/tsg.2020.3046639
Publikováno v:
IEEE Transactions on Smart Grid. 11:3313-3324
This paper proposes a real-time algorithm for processing and quality improvement of synchrophasor data (SD). The proposed algorithm first recovers the missing SD reported by phasor measurement units (PMUs), and performs low-rank approximation on data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2101ae3c6c038d5e65c1500ecb0d2084
https://doi.org/10.1109/tsg.2020.2968814
https://doi.org/10.1109/tsg.2020.2968814
Publikováno v:
Expert Systems with Applications. 203:117494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f97a8ca5afffd6cbaf679b9ddbddf84
https://doi.org/10.1016/j.eswa.2022.117494
https://doi.org/10.1016/j.eswa.2022.117494
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
In this paper, a new disturbance detection method is proposed based on principal component analysis (PCA). The PCA-based method exploits the low-rank characteristics of synchrophasor data reported by multiple phasor measurement units (PMUs). The prin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::915d606cd7c67b236a346aa99e2e1def
https://doi.org/10.1109/pesgm41954.2020.9281677
https://doi.org/10.1109/pesgm41954.2020.9281677