| EFFECTIVE METHOD FOR KNOCK SIGNAL DENOISING IN INTERNAL COMBUSTION ENGINE |
| Amirhossein Moshrefi, Omid Shoaei |
| University of Tehran |
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| ABSTRACT |
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Uncontrolled expansion of combustion wave in spark ignited internal combustion engine causes knock effect which seriously degrades efficiency and lifetime of the engine. Thus, accurate knock detection and control are essential for obtaining a desired performance from the engine. Usually, knock sensor is used to detect this phenomenon but it has limited accuracy especially at engine high-speed rotations because of natural vibration and external noises. In this study an effective method based on Non-Local Mean (NLM) algorithm has been proposed to improve the knock detection accuracy. This method is evaluated based on four different indicators and four engine cylinders. The results show 52.9 % improvement in knock detection. Also feasibility of real time execution of this method based on embedded hardware has been studied. |
| Key Words:
Knock detection, Knock sensor, Non-local Mean method, Spark ignition turbocharged engine |
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