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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Statistical engine misfire detection
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Statistical engine misfire detection

机译：统计引擎失火检测

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摘要

New recursive filtering algorithms for misfire detection based on the trigonometric interpolation method are proposed for spark ignition automotive engines. The technique improves the performance of the filtering algorithms, allowing a flexible choice of the size of the moving window. Correction algorithms are introduced for the recursive trigonometric interpolation method that ensure robustness with respect to round-off errors which are present in the finite precision implementation environment. New real-time statistical algorithms based on a hypothesis testing for a misfire detection are proposed. The statistical decision-making mechanism makes it possible to achieve misfire detection at a certain significance level with an automatically selected sample size depending on the signal quality, which in turn improves the robustness of the misfire detection algorithm. This work was done within the Volvo Six Sigma program.
机译：提出了一种基于三角插值法的新型失火检测递归滤波算法，用于火花点火汽车发动机。该技术提高了过滤算法的性能，允许灵活选择移动窗口的大小。针对递归三角插值方法引入了校正算法，可确保针对有限精度实现环境中存在的舍入误差具有鲁棒性。提出了一种基于假设检验的失火检测新实时统计算法。统计决策机制使得可以根据信号质量以自动选择的样本大小在一定显着性水平上实现失火检测，从而提高了失火检测算法的鲁棒性。这项工作是在沃尔沃六西格玛计划中完成的。

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