Catalyst monitor with direct prediction of hydrocarbon conversio

Details Catalyst monitor with direct prediction of hydrocarbon conversio Catalyst monitor with direct prediction of hydrocarbon conversio

1994-06-29

1997-04-29

Hafiz, Tariq R.

Boots, shoes, and leggings

395 21, 395 20, 364423098, 123672, 60274, G06E 100, G06E 300, G06F 1518

Patent

active

056257503

ABSTRACT:
A process and apparatus for monitoring catalyst conversion activity includes a predictor of feedgas emissions and a predictor of tailpipe emissions, each predictor providing an output for generating a ratio of conversion activity. Each predictor comprises a trained neural network receiving at least one of, and preferably a plurality of, the engine operating condition signals available from an electronic engine control. Preferably, each neural network is trained by inputting accumulated data acquired from performance evaluation of a plurality of vehicles having consistent powertrains but with different degrees of deterioration.

REFERENCES:
patent: 5095742 (1992-03-01), James
patent: 5109695 (1992-05-01), James
patent: 5247445 (1993-09-01), Miyano
patent: 5313407 (1994-05-01), Tiernan
Feldkamp, L. A., G. V. Puskorius, L. I. Davis, Jr., and F. Yuan. "Neural Control Systems Trained by Dynamic Gradient Methods for Automotive Applications." Neural Networks Int'l. Conf. Dec. 1992.

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