Enabling Real-Time Stability Monitoring Models Using SAS Viya and SAS Event Stream Processing
Today with the Internet of Things (IoT), devices generate vast amounts of data that can be used to derive insights into the health and operation of an asset. To realize value from this data, analytics are needed in order to provide context for the state of the asset. In industrial applications, one such type of analytic is stability monitoring. These models provide an intelligent way to track the ongoing health of an asset where the metric of interest is checked against the bounds generated by the model. Automating such models to function in real time delivers immediate business value beyond detecting abnormal behavior because, in many cases, they provide the first step in identifying an invaluable window of opportunity to course-correct in mission-critical situations. To that end, these models need to be deployed against streaming data where they can continuously analyze the data. Once abnormalities that merit actions are identified, these alerts need to be raised to a person who can take action. Supporting evidence of the data related to the alert is also captured to confirm that this is a real issue and what action needs to be taken.
Presenter: Sanjeev Heda, Senior Industry Consultant, SAS
Session ID: 4602
Topic: Solutions
Industry: Energy and Utilities, Manufacturing
Audience: Consultant, Engineer, Executive
Skill Level: All
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