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基于对浑沌与分形的特征参数──相关维数的深入研究，尝试将其应用于机械故障诊断领域。理论与实例分析结果表明，对用常规谱分析方法难以区分的故障，相关维数分析方法通过给出定量化指标实现了上述故障的确诊，显示这一技术在机械故障诊断领域有着广泛的应用前景。
Based on the further research on the characteristic parameters of chaos and fractal ──correlated dimension, this paper attempts to apply it to the field of mechanical fault diagnosis. The results of theoretical analysis and case study show that the method of correlation dimension analysis can be used to diagnose the above faults by giving the quantified index to the faults that are difficult to be distinguished by the conventional spectrum analysis method. It shows that this technique has a wide range of applications in the field of mechanical fault diagnosis .