Method and system for detecting a misfire of a reciprocating int

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36443107, 36443103, 36443104, 73116, 731172, 731173, 73119A, 123425, 123436, 123419, 123478, 395911, 395913, 395924, 395 22, G06F 1900, F02P 514, G01L 326

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054954150

ABSTRACT:
A trainable, pattern recognition-based method and system for detecting misfire in a reciprocating internal combustion engine having an engine cycle frequency in the frequency domain from crankshaft angular velocity. Preferably, a pattern recognition system including a neural network is utilized. Crankshaft angular position is sensed to develop an electrical signal which is a function of the crankshaft angular velocity. The electrical signal contains data which is sampled. The sampled data is transformed to an equivalent frequency domain spectrum including frequency components of the engine cycle frequency and harmonics thereof. A load signal such as mass airflow and an RPM signal are generated. The magnitudes and phases of the frequency components and the load and RPM signals are supplied to the neural network to distinguish between a true misfire and normal cyclic variability which characterizes the combustion process.

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