Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Masdi Muhammad"'
Autor:
Umair Sarwar, Ainul Akmar Mokhtar, Masdi Muhammad, Rano Khan Wassan, Afzal Ahmed Soomro, Majid Ali Wassan, Shuaib Kaka
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Pipelines are crucial for transporting energy sources, yet corrosion especially stress corrosion cracking (SCC) poses a complex and potentially catastrophic form of material degradation. Traditional techniques like finite element analysis (FEA) have
Externí odkaz:
https://doaj.org/article/ede409e31d00446ab146116c030d87b1
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101841- (2024)
In context of industry 4.0, intelligent manufacturing and maintenance play a significant role. The fault detection and diagnosis (FDD) of industrial gas turbine (IGT) engine is very crucial in smart manufacturing. With the advancement of machine lear
Externí odkaz:
https://doaj.org/article/2e48010eace948c4a64c795cdffe879c
Autor:
Mohammad Azeem, Hamdan H. Ya, Mohammad Azad Alam, Masdi Muhammad, Salit M Sapuan, Mukesh Kumar, Lokman Gemi, Ammar Maziz, Ahmad Rasdan Ismail, Sanan H. Khan
Publikováno v:
Results in Engineering, Vol 21, Iss , Pp 101730- (2024)
Filament wound pipelines and Type IV composite pressure vessels (CPVs) constitute polymeric liners and are extensively used to transport and store petroleum products, hydrogen, and compressed natural gas (CNG). The polymeric liner does not share much
Externí odkaz:
https://doaj.org/article/dfa384a9a42b4a9184d2d63afafa1cd8
Publikováno v:
Platform, a Journal of Engineering, Vol 6, Iss 3, Pp 38-45 (2022)
Raw mix design refers to the raw materials' quantitative proportions to achieve clinker with the desired chemical and mineralogical composition. The existing method used to formulate the raw mix design is based on iterative laboratory trials, which i
Externí odkaz:
https://doaj.org/article/32e104f291914d9a98973faf215909d1
Publikováno v:
Tribology Online, Vol 17, Iss 3, Pp 135-143 (2022)
In this work, the degradation of selected lubrication oil parameters until the specified threshold is predicted based on Gaussian process regression (GPR) to extend the oil change interval. Kinematic viscosity (40°C) and total acid number (TAN) was
Externí odkaz:
https://doaj.org/article/f7e5137303ac401a94ea2490ef746a72
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 3, Pp 3009-3019 (2021)
A review on reliability engineering applications in 4 industrial domains namely electronic, software, nuclear and aerospace from the 2000′s to the present day is compiled. The progress in industrial maintenance activities and Human Reliability Anal
Externí odkaz:
https://doaj.org/article/9183e902787e4b1697e8c2c6e8c9839e
Autor:
Muhammad Nazmi Mok Hat, Masdi Muhammad
Publikováno v:
Platform, a Journal of Engineering, Vol 4, Iss 3, Pp 25-37 (2020)
District cooling plant is a very complex system consisting of various equipment. One of them is an electric centrifugal chiller that is widely used in the industry to supply chilled water to thermal energy storage (TES). This paper investigates the p
Externí odkaz:
https://doaj.org/article/78e7dc2e925f424d9320b0bd5b6ba13d
Feasibility Study of Harnessing Low Wind Speed Turbine as Hybrid Power Source for Offshore Platforms
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 7, p 963 (2022)
In this study, the viability of harnessing wind energy for offshore oil and gas (O&G) platforms as a micro-grid solution in low wind speed regions to power O&G platforms is explored. However, wind, as a renewable energy, is known to be highly variabl
Externí odkaz:
https://doaj.org/article/884b069b18cd4c49be932ea6a265d1c6
Publikováno v:
Mathematics, Vol 10, Iss 4, p 554 (2022)
Mistrust, amplified by numerous artificial intelligence (AI) related incidents, is an issue that has caused the energy and industrial sectors to be amongst the slowest adopter of AI methods. Central to this issue is the black-box problem of AI, which
Externí odkaz:
https://doaj.org/article/162b84c1a8154ddebb177f865f2bf256
Publikováno v:
Sensors, Vol 21, Iss 23, p 8020 (2021)
Surveys on explainable artificial intelligence (XAI) are related to biology, clinical trials, fintech management, medicine, neurorobotics, and psychology, among others. Prognostics and health management (PHM) is the discipline that links the studies
Externí odkaz:
https://doaj.org/article/97143aee59e241c0a5c2eb8054383475