Windowed Selected Moving Autocorrelation (WSMA), Tri-Correlation (TriC), and misfire detection

Document Type

Conference Proceeding

Publication Date

4-11-2005

Department

Department of Mechanical Engineering-Engineering Mechanics

Abstract

In this paper, two correlations, Windowed Selected Moving Autocorrelation (WSMA) and Tri-Correlation (TriC), are introduced and discussed. The WSMA is simpler than the conventional autocorrelation. WSMA uses less data points to obtain useful signal content at desired frequencies. The computational requirement is therefore reduced compared to the conventional autocorrelation. The simplified TriC provides improved signal to noise separation capability than WSMA does while still requiring reduced computational effort compared to the standard autocorrelation. Very often, computation resource limitation exists for real-time applications. Therefore, the WSMA and TriC offer more opportunities for real-time monitor and feedback control applications in the frequency domain due to their high efficiencies. As an example, applications in internal combustion (IC) engine misfire detection are presented. Simulation and vehicle test results are also presented in this paper.

Publisher's Statement

Copyright © 2005 SAE International. Publisher’s version of record: https://doi.org/10.4271/2005-01-0647

Publication Title

SAE Technical Papers

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