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A bearing is an important component in any rotating machinery especially in induction motors. Thus, timely detection and diagnosis of induction motor bearing (1MB) is crucial to prevent sudden damages. This paper proposes a method to utilize artificial neural network (ANN) by using genetic algorithm (GA) to identify 1MB fault diagnosis. In this case, GA is utilized to find the optimum weights and...
The common component failure of induction motor is bearing. Thus, timely detection and diagnosis of induction motor bearing (IMB) is very crucial in order to prevent sudden damage. This paper proposes developing artificial neural network (ANN) model of IMB fault diagnosis by using Elman Network. The vibration signal obtained from Case Western Reserve University website are been used as input signal...
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