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在研究了基于小波理论的奇异检测技术的原理、方法的基础上，结合发动机连杆轴承故障的特点，应用样条小波变换对故障信号进行多尺度分解，分别计算出表征故障严重程度的奇异性指数，即Ｌｉｐ指数结果证明了小波基理论对于往复机械故障诊断的有效性及工程实用性．
Based on the principle and method of singularity detection based on wavelet theory and combined with the characteristics of engine connecting rod bearing faults, the spline wavelet transform is used to decompose the fault signals in multi-scale to calculate the singularity of the fault severity The index, that is, the result of Lip index, proves the effectiveness and engineering practicability of wavelet theory for reciprocating mechanical fault diagnosis.