{
  "$type": "site.standard.document",
  "description": "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…",
  "path": "/patents/1374828",
  "publishedAt": "2025-04-03T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G07C5/0816",
    "Robert Bosch GmbH"
  ],
  "textContent": "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.",
  "title": "SIGNAL EXPECTED RANGE FOR A VEHICLE"
}