Fatigue cracks are one of the most common damages encountered in the civil structures. For this reason, early detection of these types of damages can reduce their accumulation in the elements that conform to a civil structure, preventing its possible collapse. In this sense, this work investigates the usefulness of the statistical time features (STFs) for identifying fatigue cracks in a four-story building exposed to dynamic forced excitations. The effectiveness of the proposal is validated under three fatigue crack levels (i.e., light, moderate, and severe damage), which are artificially generated. Results show that the STFs can determine a building exposed to diverse levels of fatigue cracks with high accuracy using only one sensor placed on the structure