Open Source Accelerator

AI for Predictive Maintenance

An intelligent predictive maintenance platform that transforms raw machine sensor data into actionable insights with real-time risk calculation and remaining useful life estimation.
Powered by SUPERWISE® governance for safe, auditable industrial AI.

!The Challenge

  • Reactive maintenance leads to unplanned downtime and costly emergency repairs
  • Manual sensor monitoring can't detect subtle degradation patterns
  • Equipment failures disrupt production schedules and supply chains
  • Maintenance teams lack visibility into which machines need priority attention

The Solution

  • Detects early machine failure signs through AI-based analysis
  • Helps maintenance teams prioritize critical equipment
  • Reduces unplanned downtime and maintenance expenses
  • Move from reactive repairs to predictive maintenance

Core Capabilities

AI-powered analysis that turns sensor data into predictive intelligence

Real-time Data Analysis

Reviews maintenance history and detects anomalies in vibration, temperature, current, and pressure trends.

Failure Risk Assessment

Classifies each machine's health as Low, Medium, or High risk with confidence scores.

RUL Prediction

Estimates predicted days to failure and recommends optimal maintenance dates.

Cost Analysis

ROI calculations and savings projections from predictive vs. reactive maintenance.

AI Safety

Built-in Guardrails for Industrial AI

Manufacturing AI includes safety guardrails that prevent false predictions and ensure only valid, operational machines are analyzed—protecting your maintenance decisions.

End-of-Service Life Detection

Prevents analysis of machines that have reached their end-of-service life based on maintenance records.

Irreversible Wear Detection

Prevents analysis of machines with documented irreversible wear conditions.

Non-Functional Machine Filtering

Blocks AI analysis for machines no longer generating valid sensor data.

Maintenance Status Validation

Ensures only operational machines are included in predictive analysis.

Sensor Parameters Monitored

Vibration
Motor/bearing wear
Temperature
Overheating detection
Current Draw
Motor/load issues
Pressure
Hydraulic faults

See AI for Predictive Maintenance in Action

Transform raw machine data into actionable insights with real-time risk calculation.

Technology Stack

Built with modern, enterprise-ready technologies

Python 3.11+StreamlitFastAPIPandasPlotlyDockerSUPERWISE API

Ready to Implement Predictive Maintenance?

See how SUPERWISE accelerators can transform your manufacturing operations with enterprise-grade AI governance.