---
title: Anomaly Agent
emoji: 📡
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.9.1
python_version: "3.11"
app_file: app.py
pinned: true
license: mit
short_description: Real-Time Turbine Monitoring
tags:
  - anomaly-detection
  - industrial-ai
  - scada
  - turbine
  - iot
---

# Anomaly Agent

**Real-Time Turbine Monitoring for SCADA Systems**

Detect anomalies in gas turbine sensor streams with automated root cause analysis.

## Quick Start

1. Click **"Demo: Bearing Degradation"** to see anomaly detection in action
2. Click **"Demo: Normal Operations"** to see healthy equipment baseline
3. Or upload your own CSV telemetry data

## How It Works

```
SCADA Sensors -> Feature Scaling -> Isolation Forest -> Root Cause Analysis -> Alert
```

## Resources

- **Model**: [turbine-anomaly-detector](https://huggingface.co/davidfertube/turbine-anomaly-detector)
- **Dataset**: [turbine-sensor-streams](https://huggingface.co/datasets/davidfertube/turbine-sensor-streams)
- **GitHub**: [anomaly-agent](https://github.com/davidfertube/anomaly-agent)
- **Portfolio**: [davidfernandez.dev](https://davidfernandez.dev)

## Author

**David Fernandez** - Industrial AI Engineer | LangGraph Contributor

- [LinkedIn](https://linkedin.com/in/davidfertube)
- [GitHub](https://github.com/davidfertube)
- [HuggingFace](https://huggingface.co/davidfertube)