README.md

metadata

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
• Dataset: turbine-sensor-streams
• GitHub: anomaly-agent
• Portfolio: davidfernandez.dev

Author

David Fernandez - Industrial AI Engineer | LangGraph Contributor

• LinkedIn
• GitHub
• HuggingFace