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The electric marine instruments are newly inserted in the trade and industry,   for which the existence of an equipped and reliable power system is   necessitated. One of the features of such a power system is that it cannot   have an earth system causing the protection relays not to be able to detect   the single line to ground short circuit fault. While on the other hand, the   occurrence of another similar fault at the same time can lead to the double   line fault and thereby the tripping of relays and shortening of vital loads.   This in turn endangers the personals' security and causes the loss of   military plans. From the above considerations, it is inferred that detecting   the single line to ground fault in the marine instruments is of a special   importance. In this way, this paper intends to detect the single line to   ground fault in the power systems of the marine instruments using the   wavelet transform and Multi-Layer Perceptron (MLP) neural network. In the   numerical analysis, several different types of short circuit faults are   simulated on several marine power systems and the proposed approach is   applied to detect the single line to ground fault. The results are of a high   quality and preciseness and perfectly demonstrate the effectiveness of the   proposed approach

Detecting the single line to ground short circuit fault in the submarine’s power system using the artificial neural network