August 2025#

v1.0.0#

This is the first version of the Wind Turbine Anomaly detection sample app showcasing a time series use case by detecting the anomalous power generation patterns relative to wind speed.

Deployments#

  • Docker compose deployment on single node

  • Helm deployment on kubernetes single cluster node

Features#

  • Added sample OPC-UA server and MQTT publisher data simulators to ingest the wind turbine data

  • Generic Time Series AI stack supporting the data ingestion, data analytics, data storage and data visualization

  • Data Analytics is powered by Time Series Analytics Microservice
    which from the sample app context takes in the configuration related to wind turbine sample app and the User Defined Function(UDF) deployment package and provides below capabilities:

    • Provides the OPC-UA connector to publish the anomaly alerts to configured OPC-UA server

    • Provides support to publish the anomaly alerts to configured MQTT server

    • Provides support to customize the UDF deployment package

More details at user-guide