SIGNAL EXPECTED RANGE FOR A VEHICLE

A system and method for indicating failure of a vehicle component of a vehicle by determining anomalies for a vehicle signal of a vehicle is provided that includes a model that is trained with training data resulting in a trained artificial intelligence model. The trained model is executed by an electronic processor configured to: receive a plurality of input signals correlated with the vehicle signal; analyze the input signals; determine a predicted vehicle signal from the input signals; determine a tolerance band from the input signals; and when the model is valid, generate a model valid signal. A comparison device is configured to: receive the predicted vehicle signal, the tolerance band, and the model valid signal; receive the measured vehicle signal; and determine whether the measured vehicle signal is an anomaly based on the measured vehicle signal, the predicted vehicle signal, the tolerance band, and the model valid signal.