基于改进符号化度量方法的机场噪声异常检测
王伟;王建东;张霞
【期刊名称】《计算机与现代化》 【年(卷),期】2014(000)008
【摘要】With the expansion of airport transportation scale , the airport noise issue is becoming one of the obstacles for the sustain-able development of the aviation industry .Anomalies in the airport noise are of great significance for the timely improvement of the equipments of aircraft and airports .In this paper , according to the characteristics of airport noise , a time series anomaly detection method for single monitoring point is proposed , which is based on the improved symbolic aggregate approximation similarity measure-ment .This method calculates the measure by applying the improved similarity measure , and finally finds anomalies using the k-nearest neighbor anomaly detection method.The proposed method is applied in practice after the theoretical verification of its feasibility .%机场噪声中的异常情况拥有很大价值，利用它能够及时完善飞机和机场的设备。结合机场噪声数据的特点，对上述问题进行研究并提出一种基于改进的符号化聚集近似（ Symbolic Aggregate Approximation ，SAX）相似性度量的单监测点的时间序列异常检测方法。其运用相似性度量方法计算出度量结果，再运用k近邻异常检测方法进行异常发现，最后发现异常时间段。该方法在理论验证可行性之后在某机场的实测数据中进行应用，取得了良好的效果。
基于改进符号化度量方法的机场噪声异常检测
