{
  "$type": "site.standard.document",
  "coverImage": {
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  "description": "Certain aspects of the present disclosure provide techniques for predicting a fault of an electric vehicle supply equipment (EVSE). An example method includes obtaining time series data associated with operation of one or more EVSEs; detecting one or more shapelets within the time series data…",
  "path": "/patents/1435053",
  "publishedAt": "2026-07-02T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G01R31/40",
    "PowerFlex Systems, LLC"
  ],
  "textContent": "Certain aspects of the present disclosure provide techniques for predicting a fault of an electric vehicle supply equipment (EVSE). An example method includes obtaining time series data associated with operation of one or more EVSEs; detecting one or more shapelets within the time series data; providing at least one shapelet of the one or more shapelets to a fault detection machine learning model pre-trained on shapelets to detect EVSE faults; and obtaining, as output from the fault detection machine learning model, an indication of a state of the one or more EVSEs.",
  "title": "PROACTIVE FAULT DETECTION IN ELECTRIC VEHICLE SUPPLY EQUIPMENT SYSTEMS USING TIME SERIES ANALYSIS FOR SHAPELET DISCOVERY"
}