将现场测得的非平稳振动序列通过ARIMA模型和标准化处理，转化成标准正态平稳时间序列。
Through ARIMA model and standardization, the non stationary vibration series acquired in the field were transformed to stationary time series normally distributed.
传统的振动分析常采用傅立叶分析法，对于柴油发动机某些非平稳振动信号，傅立叶分析可能给出虚假的结果，从而导致错误诊断。
As for some of the unsteady vibration signals of diesel engine, false result may be provided by using Fourier analysis, thus error diagnosis would be induced.
把小波包分析技术应用到实际非平稳振动信号分析中，取得了良好的效果，最后讨论了分析技术实现的一些具体问题并给出了结论。
The technique of wavelet packets analysis is used to analyze unsteady vibration signal, and the results are well. At last, some respects of realizing the analysis techniques are discussed.
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