Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Leong Mohd. Salman"'
Publikováno v:
MATEC Web of Conferences, Vol 255, p 02008 (2019)
Wireless sensor networks are solely dependent on battery limits the operation as well as maintenance effort. Vibroelectric nano generator able to prolong the operation by converting ambient vibration and power the equipment. The working principles in
Externí odkaz:
https://doaj.org/article/00a6b8b25e0c42d4992be828bacd5ceb
Publikováno v:
MATEC Web of Conferences, Vol 255, p 02009 (2019)
This article aims to provide a comprehensive review on the condition monitoring techniques of underground storage tanks (UST). Generally, the UST has long been a favourite toxic substance reservation apparatus, thanks to its large capacity and minimu
Externí odkaz:
https://doaj.org/article/f0bfa006e8ed4760aa25aa9db636de25
Publikováno v:
MATEC Web of Conferences, Vol 255, p 06008 (2019)
Industrial practise typically applies pre-set original equipment manufacturers (OEMs) limits to turbomachinery online condition monitoring. However, aforementioned technique which considers sensor readings within range as normal state often get overl
Externí odkaz:
https://doaj.org/article/3070e10b04ec4a3c9358e19345adf9b8
Publikováno v:
International Journal of COMADEM; Apr2024, Vol. 27 Issue 2, p45-50, 6p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Pertanika Journal of Science & Technology; Jan2023, Vol. 31 Issue 1, p51-68, 18p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
MATEC Web of Conferences, Vol 255, p 02004 (2019)
Intelligent machinery fault diagnosis commonly utilises statistical features of sensor signals as the inputs for its machine learning algorithm. Due to the abundance of statistical features that can be extracted from raw signals and the accuracy of i
Detection of COVID-19 from Chest X-ray and CT Scan Images using Improved Stacked Sparse Autoencoder.
Autor:
Saufi, Syahril Ramadhan, Abu Hasan, Muhd Danial, Ahmad, Zair Asrar, Leong, Mohd Salman, Hee, Lim Meng
Publikováno v:
Pertanika Journal of Science & Technology; Jul2021, Vol. 29 Issue 3, p2045-2059, 15p
Wavelet analysis has been proven to be effective in analysing non-stationary vibration signals. However, the interpretation of the wavelet analysis results, such as a wavelet scalogram, requires high levels of knowledge and experience, which remains
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5008b79f073b48961c3b554f27ea03ca