This document describes a study that uses discrete wavelet transform (DWT) to detect and classify faults in a five-bus power transmission system simulated in MATLAB/Simulink. Twelve different fault types with varying durations are introduced at different transmission line locations in the five-bus system. The current signals at the receiving end of lines undergoing faults are analyzed using DWT to extract wavelet coefficients. These coefficients are then used to identify the specific fault type, location, and duration. The results demonstrate that DWT with the db8 mother wavelet can accurately detect and classify faults with mean error of -0.34% under different system conditions.