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Browsing by Author "Elforjani, Mohamed"
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Detection of faulty high speed wind turbine bearing using signal intensity estimator technique
Elforjani, Mohamed; Shanbr, Suliman; Bechhoefer, Eric (2017-12-11)Bearings are typically used in wind turbines to support shafts and gears that increase rotational speed from a low speed rotor to a higher speed electrical generator. For various bearing applications, condition monitoring ... -
Detection of natural crack in wind turbine gearbox
Shanbr, Suliman; Elasha, Faris; Elforjani, Mohamed; Teixeira, Joao (2018-04-01)One of the most challenging scenarios in bearing diagnosis is the extraction of fault signatures from within other strong components which mask the vibration signal. Usually, the bearing vibration signals are dominated by ... -
Diagnosis and prognosis of slow speed bearing behavior under grease starvation condition
Elforjani, Mohamed (2017-04-28)The monitoring and diagnosis of rolling element bearings with acoustic emission and vibration measurements has evolved as one of the much used techniques for condition monitoring and diagnosis of rotating machinery. ... -
Prognosis of Bearing Acoustic Emission Signals Using Supervised Machine Learning
Elforjani, Mohamed; Shanbr, Suliman (2018-07-01)Acoustic emission (AE) technique can be successfully utilized for condition monitoring of various machining and industrial processes. To keep machines function at optimal levels, fault prognosis model to predict the remaining ...