An application of wavelet transform based multi resolution analysis approach for double circuit transmission line protection from various faults is revealed in this paper, to intensify the result of various problems linked with distance security of double circuit transmission lines. The fault current signal is explored by choosing wavelet transform program of MATLAB and selecting 'db4' as mother wavelet to retrieve the fault current coefficients for fault detection in double circuit transmission line. Results of simulation work displays that the proposed relay based on wavelet transform can lift the work of orthodox protection schemes. Index Terms-Double circuit transmission lines, relaying schemes, wavelet transform, fault detection, location, and classification. I. PREFACE Multi terminal transmission lines are entirely standard owing to the growth of power transmission system both in convolution and expanse. Nevertheless, a double circuit transmission line constitutes unusual issues due to multi-terminals. On this subject, Adel Aktaibi et al. in [1] proposed a hybrid technique which consists of WPT and dq-axis components for current differential protection of transmission lines.. In their work, they developed and implemented hybrid technique by localizing frequency sub-bands of dq-axis components of the differential currents using WPT for finding out the best signature of the internal faults. P.D. Raval et al. in [2] proposed a method for series capacitor compensated multi bus EHV transmission system protection by using PNN. A classification of various types of transmission line faults has been done by the usage of PNN technique. Wavelet transform has been used for feature extraction of current signals. Y. Manju Sree et al. in [3] developed a protection scheme for multi-terminal transmission lines combined with wind energy source. Wavelet transform technique has been used for the analysis of different types of faults. In [4] Tamer S. Abdelgayed et al. developed a new technique based on harmony search algorithm (HSA) for determining suitable wavelet functions for the transmission line fault classification. Ahmad Abdullah in [5] developed a wavelet based neural network algorithm for classifying transients which include transmission line faults on protected and adjacent transmission line. In [6] Ahmad Abdullah proposed wavelet entropy based lightning fault detection on transmission lines. Ahmed R. Adly et al. in [7] proposed a fault identification algorithm for fault discrimination, classification and faulty phase selection of a high voltage transmission line. Ozkan Altay et al [8] developed and proposed a scheme that uses single end travelling wave fault location on transmission line by the usage of wavelet analysis without using the velocity of propagation. Saeed Asghari Govar and Heresh Seyedi in [9] proposed an adaptive CWT based differential protection of transmission line for cross country faults considering current transformer saturation. In [10] J. Uday Bhaskar et al. presented a wavelet and fuzzy based p...