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Client: Industrial Solutions
Predictive Maintenance System
ML system that predicts equipment failures before they happen
Technologies Used
Time Series AnalysisIoTPyTorchAWSReact Native
Project Overview
Industrial Solutions operates large manufacturing facilities with expensive equipment where downtime can cost millions. We developed a predictive maintenance system that analyzes sensor data in real-time to detect patterns that precede equipment failures. This allows maintenance teams to address issues before they cause costly breakdowns.
Results & Impact
- •Reduced unplanned downtime by 78%
- •Maintenance costs reduced by 35%
- •Equipment lifespan extended by 15%
- •ROI achieved within 6 months
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Working with these freelancers was a game-changer for our business. Their predictive maintenance system has saved us millions in prevented equipment failures.
Robert Martinez
Operations Director, Industrial Solutions