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Detection of belt conditions as connector on AC motor can be done by knowing how characteristics vibration signal. All vibration signals are processed by using Fast Fourier Transform (FFT) to frequency domain. The vibration signal spectrums are collected and processed by Neural Network method so that conditions of belt can be grouped. Cause of the actual condition can be monitoring on Labview and Android apps. The proposed method is based on analyzing frequency-domain features with neural network. On this paper, it use two hidden layers on neural network. Result of experiment based on three grouped of condition can get accuration by 94.03% to 96.52%.