{
  "$type": "site.standard.document",
  "description": "A method, system and machine-readable storage medium for monitoring an engine (102) using a cascaded neural network (300) that includes a plurality of neural networks is disclosed. In operation, the method, system and machine-readable storage medium store data corresponding to the cascaded neural…",
  "path": "/patents/1091726",
  "publishedAt": "2003-11-19T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "F02D41/1405",
    "CATERPILLAR INC [US]"
  ],
  "textContent": "A method, system and machine-readable storage medium for monitoring an engine (102) using a cascaded neural network (300) that includes a plurality of neural networks is disclosed. In operation, the method, system and machine-readable storage medium store data corresponding to the cascaded neural network (300). Signals generated by a plurality of engine sensors are then inputted into the cascaded neural network (300). Next, a second neural network is updated at a first rate, with an output of a first neural network, wherein the output is based on the inputted signals. In response, the second neural network outputs at a second rate, at least one engine control signal (220), wherein the second rate is faster than the first rate.",
  "title": "Engine control system using a cascaded neural network"
}