Review paper

Generalized support vector data description for anomaly detection

Volume: 100, Pages: 107119 - 107119
Published: Apr 1, 2020
Abstract
Traditional anomaly detection procedures assume that normal observations are obtained from a single distribution. However, due to the complexities of modern industrial processes, the observations may belong to multiple operating modes with different distributions. In such cases, traditional anomaly detection procedures may trigger false alarms while the process is indeed in another normally operating mode. We propose a generalized support...
Paper Details
Title
Generalized support vector data description for anomaly detection
Published Date
Apr 1, 2020
Volume
100
Pages
107119 - 107119
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