Abstract: An anomalous scenario synthesizer apparatus includes a rotatable shaft configured to be rotationally driven about a rotation axis, a data acquisition system operably associated with the rotatable shaft and configured to measure attributes of the rotatable shaft, and a dynamic anomaly generator operably connected to the rotatable shaft. The dynamic anomaly generator is configured to generate at least one anomaly in the rotatable shaft while the rotatable shaft is rotating, and is configured to generate at least one dynamic label for each anomaly while the rotatable shaft is rotating. The dynamic label for each anomaly includes at least one descriptor corresponding to the anomaly that describes the anomaly such that a machine learning method may utilize the descriptor for machine learning.