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Residual generation and statistical pattern recognition for engine misfire diagnostics

机译：发动机失火诊断的残差生成和统计模式识别

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摘要

Methods for diagnosing misfire in internal combustion engines are presented in this paper. Crank-angle domain digital filters are used to extract features from the measured engine speed signal that are characteristic of misfire. Features for intermittent and continuous misfires are developed separately, since the engine speed responses for intermittent and continuous misfires are distinctly different. Also, the influence of crankshaft torsional vibration and repeatable measurement errors must be addressed differently in each case. The outputs from the digital filters serve as inputs to a pattern recognition network based on linear parametric classifiers. Experimental results from implementation on a Ford 4.6L V-8 engine are provided.
机译：介绍了内燃机失火的诊断方法。曲轴角域数字滤波器用于从测得的发动机转速信号中提取失火特征。由于间歇性和连续性失火的发动机转速响应明显不同，因此分别开发了间歇性和连续性失火的功能。同样，在每种情况下，必须以不同的方式解决曲轴扭转振动和重复测量误差的影响。数字滤波器的输出用作基于线性参数分类器的模式识别网络的输入。提供了在福特4.6升V-8发动机上实施的实验结果。

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