提出了以变速箱振动信号的时序模型为基础的3个特征向量参数，并以此建立标准模式特征向量；
Three characteristic vectors based on the time series model of gearbox's vibrating signals are suggested and distinguishing functions are set up with these three vectors.
特征提取的依据是利用有关数学工具，去掉对分类无用的信息，寻找最有效的信号特征来构成用于分类识别的模式特征向量。
The extracting process is to throw off the useless information and look for the most efficient signal feature to form a pattern feature vectors for classification with mathematics tools.
本文探讨了用神经网络从模式中自动抽取特征向量并确定特征向量是否已具有足够特征信息的方法，给出了计算机模拟的结果。
In this paper, we have studied the method of drawing automatically from pattern and assessing whether feature vectors contain enough feature information. The result of computer simulation is given.
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