Wind Turbine Anomaly Detection

How it works

• 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

How to

• 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

Advanced Configurations

• 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

• Release Notes