Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Muhammad Sharil Yahaya"'
Autor:
Amran Mohd Selva, Norhafiz Azis, Nor Shafiqin Shariffudin, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Muhammad Sharil Yahaya, Mohd Aizam Talib
Publikováno v:
Applied Sciences, Vol 11, Iss 6, p 2728 (2021)
In this study, statistical distribution model (SDM) is used to predict the health index (HI) of transformers by utilizing the condition parameters data from dissolved gas analysis (DGA), oil quality analysis (OQA), and furanic compound analysis (FCA)
Externí odkaz:
https://doaj.org/article/4e2d5351b4d947d29889d15f38b673de
Autor:
Amran Mohd Selva, Norhafiz Azis, Muhammad Sharil Yahaya, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Young Zaidey Yang Ghazali, Mohd Aizam Talib
Publikováno v:
Energies, Vol 11, Iss 8, p 2114 (2018)
This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6)
Externí odkaz:
https://doaj.org/article/d98f5752fa54406c8f285035a64a43b9
Autor:
Muhammad Sharil Yahaya, Norhafiz Azis, Amran Mohd Selva, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Emran Jawad Kadim, Mohd Hendra Hairi, Young Zaidey Yang Ghazali
Publikováno v:
Energies, Vol 11, Iss 8, p 2006 (2018)
In this paper, a maintenance cost study of transformers based on the Markov Model (MM) utilizing the Health Index (HI) is presented. In total, 120 distribution transformers of oil type (33/11 kV and 30 MVA) are examined. The HI is computed based on c
Externí odkaz:
https://doaj.org/article/a6e947f3d2ca4fa4a143bf5a642f7060
Autor:
Muhammad Sharil Yahaya, Norhafiz Azis, Mohd Zainal Abidin Ab Kadir, Jasronita Jasni, Mohd Hendra Hairi, Mohd Aizam Talib
Publikováno v:
Energies, Vol 10, Iss 11, p 1824 (2017)
This paper presents a study on the application of the Markov Model (MM) to determine the transformer population states based on Health Index (HI). In total, 3195 oil samples from 373 transformers ranging in age from 1 to 25 years were analyzed. First
Externí odkaz:
https://doaj.org/article/c96290d39a6d4c63bd65e4a58dae7597
Autor:
Nor Shafiqin Shariffuddin, Norhafiz Azis, Jasronita Jasni, Mohd Zainal Abidin Ab Kadir, Muhammad Sharil Yahaya, Mohd Aizam Talib
Publikováno v:
Pertanika Journal of Science and Technology. 30:2879-2902
This work investigates the state distributions of failure rate, performance curve, maintenance cost and preventive frequency of the transformer population through the Markov Model (MM). The condition parameters data of the oil samples known as Oil Qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ced512e8f70ba28f3511dfde426d92bc
https://doi.org/10.47836/pjst.30.4.31
https://doi.org/10.47836/pjst.30.4.31
Autor:
Amran Mohd Selva, Norhafiz Azis, Nor Shafiqin Shariffuddin, Jasronita Jasni, Muhammad Sharil Yahaya, Mohd Zainal Abidin Ab Kadir, Mohd Aizam Talib
Publikováno v:
Pertanika Journal of Science and Technology. 29
This work examines the failure rate of the transformer population through the application of the Markov Model (MM) and Health Index (HI). Overall, the condition parameters data extracted from 3,192 oil samples were analysed in this study. The samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6fa58006ff5698bcdd81c85774f605a
https://doi.org/10.47836/pjst.29.4.42
https://doi.org/10.47836/pjst.29.4.42
Autor:
Muhammad Sharil Yahaya, N. S. Shariffuddin, Mohd Aizam Talib, Norhafiz Azis, Jasronita Jasni, A. Mohd Selva
Publikováno v:
2021 IEEE International Conference on the Properties and Applications of Dielectric Materials (ICPADM).
In this paper, a study is carried out to investigate the relationship between failure rate and Health Index (HI) of the transformer population based on condition monitoring information. In total, 3192 oil samples from 370 transformers with age rangin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::803d1c179035bd0c1fcd5191972213c4
https://doi.org/10.1109/icpadm49635.2021.9493977
https://doi.org/10.1109/icpadm49635.2021.9493977
Autor:
Jasronita Jasni, Norhafiz Azis, Amran Mohd Selva, Muhammad Sharil Yahaya, M. Z. A. Ab Kadir, Y.Z. Yang Ghazali
Publikováno v:
2018 IEEE 7th International Conference on Power and Energy (PECon).
This paper presents a study to estimate future Health Index (HI) of transformer population based on Hidden Markov Model (HMM). In this paper, HI was represented as hidden state and the condition parameter factors in the HI algorithm namely Dissolved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::261072a90e60e97eb25e8fbf4ade5347
https://doi.org/10.1109/pecon.2018.8684158
https://doi.org/10.1109/pecon.2018.8684158
Autor:
Norhafiz Azis, Muhammad Sharil Yahaya, Young Zaidey Yang Ghazali, Amran Mohd Selva, Emran Jawad Kadim, Jasronita Jasni, Mohd Hendra Hairi, Mohd Zainal Abidin Ab Kadir
Publikováno v:
Energies; Volume 11; Issue 8; Pages: 2006
Energies, Vol 11, Iss 8, p 2006 (2018)
Energies, Vol 11, Iss 8, p 2006 (2018)
In this paper, a maintenance cost study of transformers based on the Markov Model (MM) utilizing the Health Index (HI) is presented. In total, 120 distribution transformers of oil type (33/11 kV and 30 MVA) are examined. The HI is computed based on c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1709e06b32112135dadcfed90ea95a6c
Autor:
Muhammad Sharil Yahaya, Mohd Aizam Talib, Norhafiz Azis, Jasronita Jasni, Amran Mohd Selva, Young Zaidey Yang Ghazali, Mohd Zainal Abidin Ab Kadir
Publikováno v:
Energies, Vol 11, Iss 8, p 2114 (2018)
Energies; Volume 11; Issue 8; Pages: 2114
Energies; Volume 11; Issue 8; Pages: 2114
This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a81da7f46ec2f66b13205ae3aa43a64a
http://www.mdpi.com/1996-1073/11/8/2114
http://www.mdpi.com/1996-1073/11/8/2114