Amirhossein Moshrefi
ABSTRACT
One of the factors affecting the efficiency and lifetime of spark ignited internal combustion engine is "knock." Vibration sensor is a common sensor to detect this phenomenon. However, noise limits the detection accuracy of this sensor. In this study, Empirical Mode Decomposition (EMD) method is introduced as a fully adaptive signal-based analysis. Then quantum threshold method has been proposed for reducing the knock signal noise to enhance detection accuracy of knock. Then, the presented method has been evaluated using simulated and actual recorded signals from engine cylinder and compared with previous method which were done by wavelet transform. Internal pressure of each cylinder was recorded and used as a reference for the knock detection. Test results verify that knock detection accuracy improved by about 3.4% (SNR) for simulated and 13.2% (CC) for actual signal.
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- Knock Detection Improvement Applying Quantum Signal Processing Method in Automotive System
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