Anomaly Agent

Real-Time Turbine Monitoring

Anomaly DetectionIoTLLM

Tech Stack

Python • Isolation Forest • Gradio • Time-Series • Docker

Real-TimeDetection
AutoRCA
SCADAIntegration

Overview

Real-time turbine anomaly detection with auto root cause analysis using Isolation Forest and LLM-powered diagnostics.

Problem

Gas turbines generate massive sensor streams. Manual monitoring misses subtle anomalies that precede forced outages.

Solution

Isolation Forest model detecting anomalies in vibration, temperature, and pressure data with automated root cause analysis.

Architecture

Turbine Sensors → Isolation Forest → Anomaly Detection → Root Cause Analysis → Operations Alert

Explore This Project

View the source code and architecture.