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首页> 外文期刊>Measurement Science & Technology >Knock detection in spark ignition engines using a nonlinear wavelet transform of the engine cylinder head vibration signal
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Knock detection in spark ignition engines using a nonlinear wavelet transform of the engine cylinder head vibration signal

机译：使用发动机气缸盖振动信号的非线性小波变换检测火花点火发动机中的爆震

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This paper reports an investigation of knock detection in SI engines using a nonlinear wavelet transform based on the engine cylinder head vibration signals. The nonlinear wavelet transform employed in the current research is constructed by the redundant lifting scheme with an update-first framework, which has the ability to select an optimal wavelet function for each transform sample. The feasibility of applying a nonlinear wavelet transform to detect knock signatures from the vibration signals of the cylinder head is studied. The experimental results verify that the proposed method is capable of detecting knock signatures, even during the initial stages. More importantly, it is found that knock in each cylinder of a multi-cylinder gasoline engine can be detected using just one vibration sensor. Consequently, this is a simple and cost-effective way for knock detection in SI engines. Derived from the above method, we have developed a novel knock intensity factor and investigated the relevance of the proposed criterion for characterizing different levels of knock.
机译：本文报告了基于发动机汽缸盖振动信号的非线性小波变换对SI发动机爆震检测的研究。当前研究中采用的非线性小波变换是通过冗余提升方案和先更新后框架来构造的，该方案具有为每个变换样本选择最优小波函数的能力。研究了应用非线性小波变换从汽缸盖的振动信号中检测爆震信号的可行性。实验结果证明，即使在初始阶段，该方法也能够检测爆震信号。更重要的是，发现仅使用一个振动传感器就可以检测出多缸汽油发动机的每个气缸的爆震。因此，这是一种用于SI发动机爆震检测的简单且经济高效的方法。从上述方法派生而来，我们开发了一种新颖的爆震强度因子，并研究了提出的用于表征不同爆震水平的标准的相关性。

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