西安交通大学动力工程多相流国家重点实验室,西安,710049
网络首发:2010-01-10,
纸质出版:2010
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高辉, 吴筱敏, 高忠权, 等. 盲源分离法在火花塞离子电流信号分离中的应用[J]. 西安交通大学学报, 2010,44(1):22-26.
Application of Blind Source Separation in Ion Current Signal Analysis of Spark Plug[J]. 2010, 44(1): 22-26.
针对发动机燃烧过程在线监测中
以火花塞作为传感器测量并分析离子电流信号时
测得的离子电流信号易受到火花点火干扰的问题
将基于独立分量分析的盲源分离方法应用于实测火花塞电流信号的分离.采用盲源分离法对实测火花塞离子电流信号进行分析
能够很好地抽取出无火花尾干扰的离子电流信号和点火火花尾信号
其离子电流在上止点附近和压力峰值附近分别出现明显的火焰前锋区和焰后区两个峰值.对同一转速、不同废气再循环(EGR)率的实测离子电流信号进行了盲源分离
结果表明:随着EGR率的增大
离子电流的两个峰值均会减小
且峰值出现的时刻均有所推迟
同时点火火花尾对离子电流信号的干扰也会增强.
The blind source separation method based on independent component analysis was adopted to the separation of spark ion current signals measured to reduce the ignition interference by the spark discharge. The spark ion current signals measured were analyzed with this method and the ion current signals without ignition interference and the spark discharge signals were extracted. The blind source separation of the ion current signals measured was performed at the fixed engine speed and different exhaust gas recirculation(EGR)rate. The results show that one peak in front-flame near the top dead centre(TDC)and one peak in post-flame near the peak pressure occurred. Both the two peaks of the ion current signals will decrease and the peak time will be postponed
and the ion current will be interfered much stronger with the increase in EGR rate.
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