Frequency Features Based Fuzzy System for Rotating Machinery Vibration Analysis Using Smartphones Low-Cost MEMS Sensors

ISSN Print: 2161-122X
ISSN Online: 2161-1238
www.scirp.net/journal/jst
E-mail: [email protected]

Citations

"Frequency Features Based Fuzzy System for Rotating Machinery Vibration Analysis Using Smartphones Low-Cost MEMS Sensors"
written by Abdelrahman Ali, Kamel El-Serafi, Salwa A. K. Mostafa, Naser El-Sheimy,
published by Journal of Sensor Technology, Vol.6 No.3, 2016

has been cited by the following article(s):

[1]	Exploring the potential of smartphone MEMS sensors for cost-effective rotating machinery speed estimation
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[2]	Modeling the Process of Sawn Timber Drying
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[4]	Use of Smartphone Applications in Vibration Analysis: Critical
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[5]	A new hybrid method for rigid and flexible rotor balancing without phase response measurements
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[6]	A novel GPS/RAVO/MEMS-INS smartphone-sensor-integrated method to enhance USV navigation systems during GPS outages
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[7]	ДИЭЛЕКТРИЧЕСКАЯ ПРОНИЦАЕМОСТЬ ЛЕСНОГО ФОНДА В ЗАВИСИМОСТИ ОТ ПАРАМЕТРОВ СРЕДЫ ПРИ РАДИОЧАСТОТНОМ МОНИТОРИНГЕ
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[8]	ФИЗИКА/PHYSICS
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[9]	Зависимость качества окорки древесины от конструктивных параметров ультразвуковых излучателей
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[10]	Dielectric Permeability of Forestry Depending on Environmental Parameters in Radio Frequency Monitoring
	Vestnik Mordovskogo universiteta = Mordovia University Bulletin, 2018

[1]	Exploring the potential of smartphone MEMS sensors for cost-effective rotating machinery speed estimation Sensor Review, 2024 DOI:10.1108/SR-11-2023-0584

[2]	A new hybrid method for rigid and flexible rotor balancing without phase response measurements Australian Journal of Mechanical Engineering, 2020 DOI:10.1080/14484846.2020.1842616

[3]	A novel GPS/ RAVO/MEMS-INS smartphone-sensor-integrated method to enhance USV navigation systems during GPS outages Measurement Science and Technology, 2019 DOI:10.1088/1361-6501/ab161c