Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Emran Jawad Kadim"'
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
Publikováno v:
Energies, Vol 11, Iss 4, p 710 (2018)
In this paper, an assessment on the health index (HI) of transformers is carried out based on Neural-Fuzzy (NF) method. In-service condition assessment data, such as dissolved gases, furans, AC breakdown voltage (ACBDV), moisture, acidity, dissipatio
Externí odkaz:
https://doaj.org/article/9ae15aaf15564f53ae52df4c83144255
Publikováno v:
IEEE Transactions on Dielectrics and Electrical Insulation. 28:1380-1399
Insulation systems of electrical apparatus (fluid and solid) include transformer oil, insulating paper, glass, ceramic, mica and rubber. Normally, they are designed well to be stable at high temperatures and provide excellent electrical insulating pr
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
Publikováno v:
Energies, Vol 11, Iss 4, p 710 (2018)
Energies; Volume 11; Issue 4; Pages: 710
Energies; Volume 11; Issue 4; Pages: 710
In this paper, an assessment on the health index (HI) of transformers is carried out based on Neural-Fuzzy (NF) method. In-service condition assessment data, such as dissolved gases, furans, AC breakdown voltage (ACBDV), moisture, acidity, dissipatio