Mustapha Barakat

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This paper suggests an automated approach for fault detection, diagnosis and identification of roller bearings, which is based on optimized form of growing neural networks. In our recent work, we selected features according to their classification accuracy within supervised learning stage. Since each one of selected features has different effect on(More)
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