MISFIRE DETECTION USING A DYNAMIC NEURAL NETWORK WITH OUTPUT FEEDBACK

Patent №

US 6,131,444

Granted

2000-10-17

Filed 1998

Owner

CHRYSLER CORPORATION

Lab

AI components

3

ml · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09153592

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.

Machine learningPlanningAI hardwareF02D 41/1498F02D 41/1405G01M 15/11F02D 2041/1434F02D 2200/0406F02D 2200/1004F02D 2200/1012F02D 2200/1015

AI classification

Machine learning1.00
Planning0.94
AI hardware0.84
Evolutionary computation0.05
Vision0.03
Speech0.03
Natural language0.03
Knowledge representation0.00

Ownership

CHRYSLER CORPORATION

assignment · 95530723

Assignors

WU, ZHIJIAN, LEE, ANSON

On an employer assignment, the assignors are typically the inventors.

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