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[DOCS] time series modular refactoring
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# Industrial Edge Insights - Time Series
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Time Series predictive maintenance apps allow for detecting anomalous patterns across time,
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such as power generation patterns relative to wind speed for the wind turbines.
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In the Energy Sector unexpected equipment failures result in costly downtime and operational
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inefficiencies. Using AI-driven predictive analytics, edge devices can monitor equipment
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health through sensor data (for example, power output) detect anomalous trends indicative
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of wear or failure, and alert operators to schedule maintenance proactively.
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This enhances productivity, reduces costs, and extends equipment lifespan.
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[Wind turbine anomaly detection](./wind-turbine-anomaly/user-guide/get-started.md) sample app
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demonstrates a time series use case by detecting anomalous power generation patterns
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in wind turbines, relative to wind speed. By identifying deviations, it helps
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optimize maintenance schedules and prevent potential turbine failures, enhancing
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operational efficiency.
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<!--hide_directive
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::::{grid} 1
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:::{grid-item-card} Wind Turbine Anomaly Detection
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:class-card: homepage-card-container-big
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:link: ./wind-turbine-anomaly/user-guide/index.html
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Monitoring power generation anomalies for preventive maintenance.
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:::
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::::
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hide_directive-->
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<!--hide_directive
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.. toctree::
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:hidden:
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wind-turbine-anomaly/user-guide/how-it-works.md
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wind-turbine-anomaly/user-guide/system-requirements
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wind-turbine-anomaly/user-guide/get-started
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wind-turbine-anomaly/user-guide/how-to-build-from-source
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wind-turbine-anomaly/user-guide/how-to-deploy-with-helm
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wind-turbine-anomaly/user-guide/how-to-configure-custom-udf
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wind-turbine-anomaly/user-guide/how-to-configure-alerts
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wind-turbine-anomaly/user-guide/how-to-enable-system-metrics
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wind-turbine-anomaly/user-guide/how-to-update-config
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wind-turbine-anomaly/user-guide/how-to-create-a-new-sample-app
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wind-turbine-anomaly/user-guide/release_notes
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hide_directive-->

manufacturing-ai-suite/industrial-edge-insights-time-series/docs/user-guide/index.rst

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