AI-Driven Predictive Maintenance Risk Engine

System Architecture

Overview

A decision-centric AI system for industrial predictive maintenance integrating: Bayesian uncertainty, financial risk, optimization, ESG impact, human oversight, stress testing, governance, and ROI comparison.

Key Features

• Bayesian failure probability with uncertainty
• Cost-optimized maintenance decisions
• Human-in-the-loop safety
• ROI comparison vs traditional maintenance
• Environmental (carbon) impact modeling
• Stress testing & governance
• Executive-grade dashboard

Setup

unzip ai_predictive_maintenance_risk_engine.zip
cd ai_predictive_maintenance_risk_engine
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
python data/synthetic_data_generator.py
streamlit run dashboard/app.py

Disclaimer

Decision-support only. Not autonomous control.