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Advanced misfire detection using adaptive signal processing
Author(s) -
Naik Sanjeev
Publication year - 2004
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.789
Subject(s) - crankshaft , computer science , signal (programming language) , signal processing , false alarm , constant false alarm rate , automotive engineering , automotive industry , real time computing , alarm , artificial intelligence , engineering , computer hardware , digital signal processing , mechanical engineering , programming language , aerospace engineering
This article addresses the problem of internal combustion engine misfire detection. Specific attention is paid to misfire detection using crankshaft speed measurements. After an initial analysis of the problem, the applicability of advanced signal processing methods to its solution is discussed. We demonstrate how adaptive filtering techniques can lead to improved misfire detection accuracy. This can lead to reduced mis‐detection as well as false alarm rates. The general concept of estimating and removing periodic, time‐varying components may also be applied to other automotive problems. Copyright © 2004 John Wiley & Sons, Ltd.