The AE signals of pipeline leak carry the information of structure integrity (the dimension and location of leak), which are random and uncertain, and belong to non stationary signals.
管道泄漏声发射信号既携带结构的某些特征信息(泄漏孔大小和位置等) ,同时又有很大的随机性和不确定性,属于一种非平稳随机信号。
Another research team found that more than half of all smart-phone apps leak unique IDs that could be used to track a user's interests and, potentially, their location.
另一个研究小组则发现超过半数的智能手机应用软件会泄露用户的身份信息。一旦这些信息泄露,骗子们就会得知用户的兴趣甚至追踪用户的位置。
To solve the leak detection and location problem in pipeline flux, we built neural network model based on the difference of leak wave and normal signal.
为了解决目前管道流量泄漏监测和定位问题,根据管道泄漏应力波和正常信号的区别,建立神经网络模型。
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