Predictive Maintenance System
Built a predictive maintenance system for manufacturing equipment using machine learning to forecast potential failures and optimize maintenance schedules.
Challenges
- Complex equipment patterns
- Real-time data processing
- Integration with legacy systems
Solutions
- Developed custom ML models
- Implemented real-time monitoring
- Created seamless integration layer
Results
75%
reduction in unexpected downtime
40%
decrease in maintenance costs
3x
return on investment
Technologies Used
Python
Scikit-learn
Time Series Analysis
IoT Sensors
Azure ML
Ready to transform your business?
Let's discuss how our services can drive your digital success.
Get in Touch