In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
从特征信号提取的角度出发，采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
Targeting at extending the dictionary for word segmentation so as to improve its accuracy, this paper presents a high-frequency Chinese word extraction algorithm based on information entropy.
为扩展分词词典，提高分词的准确率，本文提出了一种基于信息熵的中文高频词抽取算法，其结果可以用来识别未登录词并扩充现有词典。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
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