Exploració per tema "Ball-bearings"
Ara es mostren els items 1-4 de 4
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Accurate Bearing Faults Classification based on Statistical-Time Features, Curvilinear Component Analysis and Neural Networks
(2012)
Text en actes de congrés
Accés restringit per política de l'editorialBearing faults are the commonest form of malfunction associated with electrical machines. So far, the research has been carried out mainly in the detection of localized faults, but the diagnosis of distributed faults ... -
Bearing fault detection by a novel condition-monitoring scheme based on statistical-time features and neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2013-08)
Article
Accés restringit per política de l'editorialBearing degradation is the most common source of faults in electrical machines. In this context, this work presents a novel monitoring scheme applied to diagnose bearing faults. Apart from detecting local defects, i.e., ... -
Condition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools
(2010-05-06)
Article
Accés obertThe present work shows a condition monitoring system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the location of single-point defects in bearing ... -
Wear resistance and friction analysis of Ti6Al4V cylindrical ball-burnished specimens with and without vibration assistance
(Springer Nature, 2023-02-01)
Article
Accés obertThe objective of the research is to analyze the impact of the ultrasonic vibration assistance on the wear resistance due to the topography enhancement caused on Ti6Al4V cylindrical samples after surface modification through ...