This document summarizes research using discrete wavelet transform (DWT) to characterize transients and diagnose faults in transformers. DWT is used to extract features from transformer current data during normal magnetization and abnormal inter-turn faults. This allows discrimination between the two conditions. Tests were performed on a 2KVA single-phase transformer. Results found DWT can provide information to predict faults in advance to prevent outages and reduce downtime.