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Fault diagnosis for large diesel fuel engine based on chaotic fractal method

机译:基于混沌分形方法的大型柴油机故障诊断

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摘要

In contrast with the large diesel engine fuel system operational condition complexity, the chaotic fractal characteristics in the combustion process of the diesel engine fuel system are systematically analyzed. Then, based on chaotic fractal method, an effective fault diagnosis method is further proposed. And under the two kinds of typical failure modes, the two important characteristic parameters variation trend for chaotic system, namely, correlation dimensions and the calculation methods of the maximum Lyapunov exponent are discussed. On the process of chaotic parameters calculation the wavelet noise reduction method is used to handle the original signal to conquer the linear scaling region properly. The results show that the maximum Lyapunov exponent method is a more effective method on the diesel engine fuel system fault diagnosis than the correlation dimension method, which can be further used in health condition assessment for this type fuel engine.
机译:相对于大型柴油机燃油系统运行条件的复杂性,系统地分析了柴油机燃油系统燃烧过程中的混沌分形特征。然后,基于混沌分形方法,进一步提出了一种有效的故障诊断方法。在两种典型的失效模式下,讨论了混沌系统的两个重要特征参数变化趋势,即相关维数和最大李雅普诺夫指数的计算方法。在混沌参数计算过程中,采用小波降噪方法处理原始信号,以适当地征服线性定标区域。结果表明,最大李雅普诺夫指数法比相关维数法在柴油机燃油系统故障诊断中更有效,可进一步用于此类燃油机的健康状况评估。

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