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Anomaly Detection Toolkit for Integrated Systems HealthManagement (ISHM)

机译:Anomaly检测工具包,用于集成系统Healthmanagement(ISHM)

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THEgoal of Integrated Systems Health Management (ISHM) is to provide measures of system health using THE data combined with models of behavior. Many technologies contribute to creating an ISHM capability. Arguably the most important of these are methods for anomaly detection, because that is the source of events that trigger downstream reasoning about cause-effect relationships. This paper describes recent efforts to create an anomaly detection toolkit to support on-going ISHM development at NASA-SSC. The toolkit consists of two major components. A health assessment database system (HADS) based on MySQL implements a repository of test data and related configuration data; a companion browser tool allows access to the HADS test data, supports queries, and allows the data to be analyzed using available anomaly detection algorithms. The browser provides a graphical user interface to make the tool usable by operations personnel.
机译:综合系统卫生管理(ISHM)的高位是使用与行为模型相结合的数据提供系统健康的措施。许多技术有助于创建ISHM功能。可以说是这些中最重要的是对异常检测的方法,因为这是触发对原因关系的下游推理的事件的来源。本文介绍了创建异常检测工具包,以支持NASA-SSC的正在进行的ISHM开发的努力。该工具包由两个主要组件组成。基于MySQL的健康评估数据库系统(HAFS)实现了测试数据和相关配置数据的存储库;伴侣浏览器工具允许访问HATS测试数据,支持查询,并允许使用可用的异常检测算法进行分析数据。浏览器提供了一个图形用户界面,可以使操作人员可用的工具。

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