Engine control system using a cascaded neural network
US7222112B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jan 27, 2006 |
| Grant date | May 22, 2007 |
| Priority date | — |
| Expiry date | Jan 27, 2026 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF02D2250/12
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A method, system and machine-readable storage medium for monitoring an engine using a cascaded neural network 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. Signals generated by a plurality of engine sensors are then inputted into the cascaded neural network. 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, wherein the second rate is faster than the first rate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.