SIGNAL EXPECTED RANGE FOR A VEHICLE
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United States of America
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Issued Date -
Apr 3, 2025
app pub date -
Oct 3, 2023
filing date -
Oct 3, 2023
priority date (Note) -
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status (Latency Note)
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Abstract
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.
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