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Anomaly detection methods for electrical equipment in the big data era
Pages: 3029-3032
Year: Issue:  z1
Journal: East China Electric Power

Keyword:  big dataanomaly detectiontrend analysisdynamic modeling;
Abstract: 随着电力设备状态监测技术的发展,可收集的状态监测数据日益增多,如何从这些海量数据中提取有用信息,提升对设备异常状态的检测能力,以便及时处理问题设备、防患于未然,提高系统供电的可靠性正成为人们日益关注的问题.总结了趋势分析法和动态建模法两类方法,为适应大数据时代的电力设备异常状态检测方法指明了发展方向.
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