Engine Knock Estimation Using Neural Networks Based on a Real-World Database

Paper #:
  • 980513

Published:
  • 1998-02-23
Citation:
Ortmann, S., Rychetsky, M., Glesner, M., Groppo, R. et al., "Engine Knock Estimation Using Neural Networks Based on a Real-World Database," SAE Technical Paper 980513, 1998, https://doi.org/10.4271/980513.
Pages:
10
Abstract:
In this paper we present an advanced knock detection approach. The detection concept consists of a two-level feature extraction step followed by neural network detector. A knock tendency index is estimated that takes into account the statistical behavior of the knock phenomena. The configuration of the neural network is based on a signal database that was acquired under almost ‘on-road’ conditions. The experimental set-up consisted of several measurement sessions in a special vehicle test cell. In order to achieve a most realistic knock database the test engine was mounted on an in-production car.
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