On Line Working Neural Estimator of SI Engines Operational Parameters

Paper #:
  • 2000-01-1247

Published:
  • 2000-03-06
Citation:
Grimaldi, C. and Mariani, F., "On Line Working Neural Estimator of SI Engines Operational Parameters," SAE Technical Paper 2000-01-1247, 2000, https://doi.org/10.4271/2000-01-1247.
Pages:
11
Abstract:
In this paper the evaluation of the suitability of the Artificial Neural Networks for setting up simulation modules for “analytical redundancy” was further carried out. The performance of the ANN modules was enhanced, by taking into account the engine dynamics for the simulation of fast engine transients and obtaining satisfactory results.Working toward actual on board application in Fault Diagnosis systems, some ANN modules were implemented in an on-line system which acquires signals from an engine mounted on a test bench and compares in real time the experimental values with the estimated ones. In this way, it was possible to perform long duration tests of ANN's behaviour, substantially confirming the results of the conventional off-line analysis.
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