A new method is proposed for automatic classification of seismoacoustic emission sources in fiber optic monitoring systems based on the principles of optical reflectometry in a time domain using the time reconstruction of the interference signal phase. The novelty of this approach lies in the original principles of forming a space of classification features and the use of ensemble classifiers. This method works provided that a relatively small training database is used. High practical effectiveness of the proposed approach is shown when working on real data. A classification reliability value previously inaccessible to alternative classification methods implemented in serial fiber optic monitoring systems is evenly achieved for different classes of goals.

中文翻译：

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用于监测扩展对象的光纤系统中地震声发射源的分类

基于时域光反射原理，利用干涉信号相位的时间重构，提出了一种用于光纤监测系统中地震声发射源自动分类的新方法。这种方法的新颖之处在于形成分类特征空间的原始原理和集成分类器的使用。如果使用相对较小的训练数据库，则此方法有效。在处理真实数据时，显示了所提出方法的高实际有效性。对于不同类别的目标，在串行光纤监控系统中实施的替代分类方法以前无法获得的分类可靠性值可以均匀地实现。