For the anomaly detection in the vibration time series of the rotor system, a real-valued negative selection algorithm based on Euclidean distance has been implemented.
针对转子振动时间序列中异常数据的检测问题，采用欧氏距离进行匹配计算，在实数域实现了负向选择算法。
But there are still some problems on real-valued negative selection algorithm, such as needing large amounts of time in generating detectors and setting the position of detectors.
但是实值负选择算法仍然存在着一些问题，比如：产生检测器和设置检测器位置需要消耗大量的时间。
The matching affinity between two vectors was measured using cosine similarity to develop a real-valued negative selection algorithm with the matching calculation in the real domain.
通过沿时间轴对采样信号加窗的方式构造向量集合，利用余弦相似度进行向量间亲合度的匹配计算，实现在实数域进行匹配计算的实数值负向选择算法。
To improve the performances of detectors, the real-valued negative selection algorithm was proposed by improving detector generation algorithm based on the negative selection algorithm.
为了提高检测器的性能，在负选择的基础上改进检测器生成算法而产生了实值负选择算法。
To improve the performances of detectors, the real-valued negative selection algorithm was proposed by improving detector generation algorithm based on the negative selection algorithm.
为了提高检测器的性能，在负选择的基础上改进检测器生成算法而产生了实值负选择算法。
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