To improve the adaptability and effectiveness of recognition on abnormal condition, a self-adaptive alarm method for equipment condition based on one-class support vector machine (OC-SVM) is proposed.
为了提高对异常状态识别的适应性和有效性，提出了一种基于一类支持向量机的设备状态自适应报警方法。
This method can build up one-class classification to distinguish normal and abnormal condition only using normal samples.
这种方法可以建立一个类分类，以区分正常和异常情况，只使用正常的样品。
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