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。

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.

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利用三正交平移运动，提出了一种三维结构恢复和直接欧氏重建新算法。

From the motions of three mutually orthogonal translations (TMOT), we develop a novel algorithm for 3d structure recovery and direct Euclidean reconstruction.

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在距离变换阶段，该方案采用了一种新的三维欧氏距离变换算法，在保证距离测量精度的同时缩短了运算时间。

To reduce the computation time, a new 3d Euclidean distance transformation algorithm was adopted to compute the distance map of the medical image.

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