Real-Time Monitoring and Fault Diagnosis of a Low Power Hub Motor Using Feedforward Neural Network

Low power hub motors are widely used in electromechanical systems such as electrical bicycles and solar vehicles due to their robustness and compact structure. Such systems driven by hub motors (in wheel motors) encounter previously defined and undefined faults under operation. It may inevitably lea...

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Veröffentlicht in:	Computational Intelligence and Neuroscience 2016-01, Vol.2016 (2016), p.419-431
Hauptverfasser:	Shmshir, Muhammad, Uyaroğlu, Yılmaz, Bayır, Raif
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation CAD Computer aided design Computer Simulation Datasets Electric motors Electric Power Supplies Electronics Evaluation Fault diagnosis Fault location (Engineering) Feedforward Fuzzy logic Humans Machine Learning Mathematical models Matlab Methods Models, Theoretical Motors Neural networks Neural Networks (Computer) Parameter estimation Real time Real-time control Real-time systems Sensors Solar power generation
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