Misfire detection using a dynamic neural network with output feedback
US6131444A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Sep 15, 1998 |
| Grant date | Oct 17, 2000 |
| Priority date | — |
| Expiry date | Sep 15, 2018 |
Classification
- Technology area (CPC F)Mechanical Engineering; Lighting; Heating
- CPC primaryF02D2200/1015
- WIPO fieldEngines, pumps, turbines
- WIPO sectorMechanical engineering
Abstract
A misfire detection apparatus and method for detecting misfire of an engine. The engine has an engine speed and a manifold absolute pressure. An engine signal preprocessing system is provided for determining: a fluctuation associated with the engine speed; an average associated with the engine speed; and an average associated with the manifold absolute pressure. A neural network determines a firing event signal based upon: the determined engine speed fluctuation; the determined engine speed average; and the determined manifold absolute pressure average. A misfire decision determinator detects a misfire of the engine based upon the determined firing event signal. A preferred embodiment also includes a dynamic neural network system with global output feedback.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.