蒋爱华, 李小昱, 王为, 张军. 基于小波分析的发动机气缸失火故障诊断[J]. 农业工程学报, 2007, 23(4): 153-157.
    引用本文: 蒋爱华, 李小昱, 王为, 张军. 基于小波分析的发动机气缸失火故障诊断[J]. 农业工程学报, 2007, 23(4): 153-157.
    Jiang Aihua, Li Xiaoyu, Wang Wei, Zhang Jun. Misfire failure diagnosis of engine based on wavelet analysis[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(4): 153-157.
    Citation: Jiang Aihua, Li Xiaoyu, Wang Wei, Zhang Jun. Misfire failure diagnosis of engine based on wavelet analysis[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2007, 23(4): 153-157.

    基于小波分析的发动机气缸失火故障诊断

    Misfire failure diagnosis of engine based on wavelet analysis

    • 摘要: 发动机加速过程中失火是常见故障,运用了发动机主轴瞬时转速进行失火故障的诊断。采用磁电式传感器测定了发动机在正常与故障的4种工况下从怠速急加速到高速过程中的瞬时转速,并用db3阶小波对各工况下转速信号进行分解与重构,以重构波形分析对比了各工况下的转速波动状态与加速过程的信息,从而判断发动机是否失火以及失火故障类型。结果表明,发动机失火时,瞬时转速的重构信号与正常工况转速重构信号相比,波动幅值、怠速段和高速段的稳定转速、加速时间有显著差异,这种失火故障的诊断方法是可行的和有效的。

       

      Abstract: Engine misfire failure when acceleration is a frequent failure. Misfire failure was diagnosed from engine principal shaft instantaneous speed. The instantaneous speeds in rapidly accelerating process from idle speed to high speed, at which the engine runs under the four formal and fault working conditions, were measured with magnetoelectric sensor. After decomposing and reconstructing the speed signals with db3 wavelet, and then comparing the information in all the four conditions so as to judge whether the engine was misfiring or not and what types of the misfire would be. The results show that, the wave amplitude, the stable idle speed, the stable high speed and accelerating time of misfire condition are distinctly different from those in normal condition. Therefore this kind of misfire diagnosis method is feasible and effective.

       

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