State identification in data with a temporal dimension

States are identified in a time ordered sequence of data that have a temporal component. Data that includes a plurality of snapshots is received. Each snapshot of the plurality of snapshots includes a plurality of sensor measurements captured from distinct sensors at a common time point. The plurality of snapshots are time ordered. Root mean square error (RMSE) values are computed between successive pairs of the plurality of snapshots in time order. A peak is identified in the computed RMSE values. A valley is identified in the computed RMSE values. A stable state is determined as occurring from the identified peak to the identified valley. The determined stable state is output.