Development and Implementation of a Neural Knock Detector Using Constructive Learning Methods
- 1 April 1998
- journal article
- Published by World Scientific Pub Co Pte Ltd in International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
- Vol. 6 (2) , 127-137
- https://doi.org/10.1142/s0218488598000112
Abstract
The world-wide demands for reasonable fuel consumption and reduced engine emissions force engine developers to improve the combustion process. Automobile makers are expecting to meet these demands by increasing the engine compression ratio. However, this improvement leads back to the problem of engine knock and appropriate engine control. Thus, the ability to detect engine knock with high precision will be mandatory for car makers. We propose a detection scheme that consists of two main blocks: multi-feature extraction and neural classification. This paper gives a short overview of the concept and presents a developed constructive learning algorithm for the cycle-by-cycle detection task.Keywords
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