Abstract— This paper proposes a discrete Meyer wavelet transform (DMWT)-based fault recognition and faulty phase categorization technique for the protection of two-terminal series capacitor compensated transmission line (TTSCCTL). The captured single side fault currents of the TTSCCTL are used to evaluate the amplitudes of DMWT coefficients at fifth level. To validate the performance of the proposed technique; a widespread collection of simulation studies are conducted with varied fault type, location, resistance, frequency, and switching time. In this work, the value of fault resistance is varied from 0.5 Ω to 105 Ω; the position of fault for the close-in relay faults is varied from 5 km to 9 km; the position of fault for the far-end relay faults is varied from 195 km to 199 km; the position of fault around the series capacitors are changed; the degree of series compensation is also varied from 15% to 70%; the performance of DMWT is also investigated for intense loads connection and the frequency of TTSCCTL is also varied from 48 Hz to 52 Hz. The obtained results show that DMWT correctly detects all types of faults in TTSCCTL by employing one-side fault current data only. They also proved that the proposed technique is robust to the variation in the fault factors of TTSCCTL.