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首页> 外文会议>2001 Fall Technical Conference of the Asme Internal Combustion Engine Division, 2001, Sep 23-26, 2001, Argonne, Illinois >A NEW APPROACH TO ENGINE MISFIRE DETECTION BY CRANKSHAFT SPEED VARIATION ANALYSIS
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A NEW APPROACH TO ENGINE MISFIRE DETECTION BY CRANKSHAFT SPEED VARIATION ANALYSIS

机译：曲轴转速变化分析的发动机故障检测新方法

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摘要

A new algorithm to detect cylinder misfire in automotive gasoline engines is presented in this paper. It is based on processing the variations in crankshaft speed of the engine. In the algorithm, the crankshaft speed data is preprocessed and then modeled as a Mixture of Gaussian components. The appropriate number of components in the data is determined using a goodness-of-fit measure. When misfire is taking place, two or more Gaussian components will appear in the mixture model. Based on the estimated parameters (mean, variance) of the components and a specified probability of false alarms, a Generalized Likelihood decision rule is designed to classify every data point as a misfire or no-misfire behavior. The algorithm was tested on real engine data and the results were encouraging.
机译：本文提出了一种检测汽车汽油发动机气缸失火的新算法。它基于处理发动机曲轴转速的变化。在该算法中，曲轴转速数据经过预处理，然后建模为高斯分量的混合物。使用拟合优度度量确定数据中适当的组件数量。发生失火时，混合模型中将出现两个或多个高斯分量。根据组件的估计参数（均值，方差）和指定的错误警报概率，设计了通用似然决策规则，以将每个数据点归类为不点火或不点火行为。该算法在真实发动机数据上进行了测试，结果令人鼓舞。

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