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飞行实测信号处理中,经常要对具备某种特征的数据进行提取,当数据的特征难以用明确的数学关系描述时,这项工作就只能依赖于人工操作.针对此问题,提出了一种数据的提取方法,其特点在于借鉴了模糊数学的思想,用数学语言对模糊特征进行了明确的描述,从而实现了程序的自动判别和提取.首先给出隶属度分别为0和1时的边界特征,然后构造出特征的隶属函数,再对各采样点进行隶属度计算和二值化处理来判定各采样点是否具备特征,最后经过区间提取和区间合并得到具备该特征的时间区间.经验证,该方法提取数据完整、可靠,已成功应用于某型涡桨发动机指定功率状态数据的提取.
In flight signal processing, it is often necessary to extract data with certain characteristics. When the characteristics of data are difficult to describe in a clear mathematical relation, this work can only rely on manual operation. In response to this problem, a The method of data extraction is characterized by taking the idea of fuzzy mathematics as reference and carrying out a clear description of the fuzzy features in mathematical language so as to realize the automatic identification and extraction of the program.Firstly, the boundaries of membership degree 0 and 1 respectively Then, the membership function of the feature is constructed, and then the membership degree of each sampling point is calculated and binarized to determine whether each sampling point has the feature, and finally the time interval with the feature is obtained through the interval extraction and interval merging. The method extracts the data completely and reliably and has been successfully applied to the extraction of the specified power state data of a turboprop.