在没有故障信号时可以仅仅依靠正常运行时的信号,利用支持向量数据描述方法(support vector data description,SVDD)建立单值分类器,从而对设备运行状态进行监测诊断。
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提出了一种基于支持向量数据描述算法的异常检测方法。
This paper proposes a new anomaly intrusion detection method based on support vector data description (SVDD).
本论文将基于支持向量数据描述的单值分类方法引入项目风险预警中，提出了基于距离评判和支持向量数据描述的智能预警模型。
A one-class classification method called support vector data description (SVDD) is studied, and an intelligent early warning method based on DET and SVDD is also proposed.
本文以线谱增强类声学故障为研究对象，提出了一种基于支持向量数据描述(SVDD)的故障源识别定位方法。
A new method based on Support Vector Data Description (SVDD) was presented to identify and locate line-spectrum power increase acoustic fault source of system.
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