基于连续小波变换的柴油机气缸工作状态检测

为实现装甲车辆柴油机气缸工作状态不解体检测,在实车上模拟了失火故障,测取了不同状态下排气口附近的噪声信号;利用合适尺度下的连续小波变换(CWT),获得了具有明显幅值调制特征的周期性排气噪声低频成分;经过H ilbert变换幅值解调,提取最大幅值归一化包络信号的方差为特征参数,建立了一种柴油机气缸工作均匀性评价与失火故障检测的新方法。应用结果表明,该方法切实可行。

Condition Detection of Diesel Engine Cylinders Based on Continuous Wavelet Transform

To realize the non-disassembly detection of working diesel engine cylinders of armored vehicle，the misfire fault was simulated in an actual vehicle，noise signals nearby a vent in different states were measured. The low frequency component of periodical exhaust noise with obvious characteristics of amplitude demodulation was acquired by using continuous wavelet transform (CWT) under appropriate scale. Hilbert transform amplitude demodulating approach was used to extract the variance of the maximal amplitude normalized envelope signal as characteristic parameter，and a new method was presented for the working uniformity evaluation and misfire detection of diesel engine cylinders. The experimental results show that this method is effective and feasible.