Predictive Drive Reliability (Power Systems)
Project Scope
Developed a predictive monitoring system for industrial drives and power electronics that analyzes operational data to detect early signs of component degradation and prevent unexpected failures.
Business Challenges
- Unplanned downtime due to sudden drive or motor failures
- Limited real-time visibility into thermal, vibration, and electrical stress parameters
- Reactive maintenance practices increasing operational costs
- Difficulty identifying early-stage faults in power electronics
- High impact of drive failures on production continuity
ARi’s Solutions
- Implement real-time monitoring of current, voltage, temperature, and vibration parameters
- Use analytics and machine learning models to predict component wear and failure patterns
- Integrate condition-based alerts into maintenance dashboards
- Provide health scoring for drives and motors
- Enable secure remote diagnostics and trend analysis
ARi’s Value Proposition
- Reduced unplanned downtime and maintenance costs
- Early fault detection before catastrophic failure
- Extended equipment lifespan through condition-based maintenance
- Improved operational efficiency and asset reliability
- Data-driven maintenance planning and decision-making
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Case Study
Case Studies
Related
https://www.arigs.com/wp-content/uploads/2026/08/Predictive-Drive-Reliability-Power-Systems.pdf