Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images

An improved CNN is proposed for the diagnosis of defects in components of a centrifugal pump. The improvement is attained by modifying the cost function of CNN. For defect identification, first, grey scale acoustic images are obtained by processing acoustic signals using analytical wavelet transform (AWT). Second, a new entropy based divergence function, a type of regularization function is introduced in the cost function of CNN which avoids...