{
  "$type": "site.standard.document",
  "description": "A system for detecting an anomaly of a vehicle pump. The system receives input parameters comprising at least a pump speed command to a pump of a vehicle at a time t, and an electric current of the pump prior to the time t. The system applies, to the input parameters, a machine learning model…",
  "path": "/patents/1381700",
  "publishedAt": "2026-04-30T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "B60W50/0205",
    "Atieva, Inc."
  ],
  "textContent": "A system for detecting an anomaly of a vehicle pump. The system receives input parameters comprising at least a pump speed command to a pump of a vehicle at a time t, and an electric current of the pump prior to the time t. The system applies, to the input parameters, a machine learning model, configured to determine one or more output parameters comprising at least a predicted electric current of the pump at the time t, in response to the pump speed command. The system determines, based at least on the predicted electric current of the pump and a sensed electric current of the pump at the time t, whether an anomaly is associated with the pump of the vehicle.",
  "title": "MACHINE LEARNING-BASED ANOMALY DETECTION AND ALERT SYSTEM FOR OIL PUMPS"
}