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Identification of time-varying non-linear systems with application to knock detection in combustion engines

机译:时变非线性系统的识别及其在内燃机爆震检测中的应用

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Knock is a serious problem affecting internal combustion engines, and not only causes unwanted noise from the motor vehicle, but may also cause engine damage. In this paper, the reconstruction of the pressure signal in the combustion chamber from vibration sensors on the engine block is examined. A non-linear model, the Volterra series, is used as the basis for this purpose. A linear model is also utilized and a comparison made. A method of Volterra series kernel estimation based upon the singular value decomposition of the observation matrix is discussed. This method is validated using simulated data.
机译:敲门是影响内燃机的严重问题,而且不仅导致机动车辆的不需要的噪声,而且也可能导致发动机损坏。本文研究了从发动机块上的振动传感器中燃烧室中的压力信号的重建。非线性模型,Volterra系列用作此目的的基础。还利用了线性模型并进行了比较。讨论了基于观察矩阵的奇异值分解的Volterra系列核估计的方法。使用模拟数据验证该方法。

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