• Wind Turbine Anomaly Detection
  • Overview
  • Architecture
    • 1. Data Simulators/Destinations:
    • 2. Generic Time Series AI stack
      • 2.1 Data Ingestion
      • 2.2. Data Storage
      • 2.3. Data Processing
      • 2.4. Data Visualization
    • Summary
  • System Requirements
    • Minimum Requirements
    • Software Requirements
    • Validation
    • Supporting Resources
  • Get Started
    • Configure Docker
    • Clone source code
    • Data flow explanation
      • Data Sources
      • Data Ingestion
      • Data Storage
      • Data Processing
        • config.json:
        • config/:
        • udfs/:
        • tick_scripts/:
        • models/:
    • Deploy with Docker Compose
    • Verify the Wind Turbine Anomaly Detection Results
    • Bring down the sample app
    • Check logs - troubleshooting
    • Other Deployment options
    • Advanced setup
  • Build from source
    • Steps to Build from Source
  • Deploy with Helm
    • Prerequisites
    • Step 1: Generate or download the Helm charts
    • Step 2: Configure and update the environment variables
    • Step 3: Install Helm charts
    • Step 4: Copy the windturbine_anomaly_detection udf package for helm deployment to Time Series Analytics Microservice
    • Step 5: Activate the New UDF Deployment Package
    • Step 6: Verify the Wind Turbine Anomaly Detection Results
    • Uninstall Helm Charts
    • Configure Alerts in Time Series Analytics Microservice
    • Deploy the Application with a Custom UDF
    • Deploy the Application with a Custom UDF by Uploading to the Model Registry
    • Troubleshooting
  • Configure Time Series Analytics Microservice with Custom UDF deployment package
    • With Volume Mounts
      • Docker compose deployment Only
      • Helm Deployment
    • With Model Registry
      • 1. UDF Deployment Package structure
      • 2. Uploading Models to the Model Registry
      • 3. Update Time Series Analytics Microservice config for Model Registry usage
  • Configure Alerts in Time Series Analytics Microservice
    • Docker Compose Deployment
      • Publish MQTT Alerts
        • Configure MQTT Alerts
        • Configure MQTT Alert in TICK Script
      • Subscribing to MQTT Alerts
      • Publishing OPC-UA Alerts
        • Prerequisite
        • Configuration
        • 1. Configure OPC-UA Alert in TICK Script
        • 2. Configuring OPC-UA Alert in config.json
        • Subscribe to OPC UA Alerts using Sample OPCUA Subscriber
    • Helm Deployment
    • Supporting Resources
  • Enable System Metrics Dashboard
    • Viewing System Metrics Dashboard
  • Update config in Time Series Analytics Microservice
    • Accessing the Swagger UI
      • To view the current configuration:
      • To activate the new UDF deployment package
      • To update the current configuration:
  • How to create a new sample app
    • Steps to follow
      • Configuration
        • 1. Data Simulators/Destinations:
        • 2. Generic Time Series AI stack
      • Deployment
  • Release Notes