USE CASE |
June 30, 2026
Compressed Air Systems Optimization
Overview
Compressed air systems are widely used across manufacturing for powering tools, controls, and automation—but they are also one of the most energy-intensive and failure-prone utility systems. Inefficiencies or equipment issues (e.g., compressors, motors, fans) can significantly increase costs and reduce system reliability. TDK SensEI’s edgeRX™ enables predictive maintenance by continuously monitoring machine health, applying edge AI analytics, and delivering real-time alerts to optimize compressed air system performance and uptime.
Problem
Compressed air systems often suffer from hidden inefficiencies and gradual equipment degradation. Issues such as motor wear, compressor imbalance, overheating, and mechanical faults can go undetected until they cause performance loss or unexpected downtime. Traditional maintenance approaches rely on periodic checks or reactive servicing, which limits visibility into real-time system health.
Key challenges include:
- Unplanned compressor downtime impacting production and plant operations
- Excess energy consumption from inefficiencies caused by degraded components
- Limited visibility into real-time system behavior and performance
- High maintenance costs due to reactive repairs and emergency interventions
- Difficulty detecting early-stage faults in rotating equipment like motors and compressors
Modern predictive maintenance approaches rely on continuous monitoring of vibration, temperature, and operating patterns to detect early signs of failure and inefficiency.
Solution: edgeRX™ at the Edge
TDK SensEI’s edgeRX™ provides a complete machine health monitoring platform that combines smart sensors, edge processing, connectivity, and AI-driven analytics. It is designed to monitor critical compressed air system components—such as compressors, motors, pumps, and fans—in real time.
How edgeRX™ optimizes compressed air systems:
- Continuous monitoring
Sensors capture vibration and temperature data from compressors and rotating equipment.
https://sensei.tdk.com/edgerx - Edge AI analytics
Data is processed locally on the device, enabling fast detection of anomalies and reducing latency. - Predictive insights
AI/ML models identify subtle patterns indicating wear, imbalance, or inefficiency before failure occurs. - Actionable alerts
Maintenance teams receive real-time notifications to address issues proactively.
https://sensei.tdk.com/tdk-introduces-edgerx-the-future-of-industrial-machine-health-monitoring/ - Centralized monitoring
Gateway and dashboard provide visibility across multiple compressors and system assets. - Scalable deployment
Supports plant-wide or multi-site monitoring through flexible connectivity (4G, Wi-Fi, BLE).
Expected Outcomes
By deploying edgeRX™ across compressed air systems, manufacturers can improve efficiency, reduce downtime, and better control operational costs.
Expected benefits include:
- Reduced unplanned downtime through early fault detection in compressors and motors
- Lower energy consumption by identifying inefficiencies and abnormal operating conditions
- Reduced maintenance costs through planned, condition-based servicing
https://sensei.tdk.com/tdk-introduces-edgerx-the-future-of-industrial-machine-health-monitoring/ - Improved system reliability and uptime across air supply networks
https://sensei.tdk.com/edgerx/ - Enhanced visibility and decision-making with real-time and historical performance insights
https://product.tdk.com/en/techlibrary/productoverview/predictive-maintenance-for-machine-health.html
Summary
TDK SensEI’s edgeRX™ enables predictive maintenance and optimization of compressed air systems by combining continuous monitoring, edge AI analytics, and actionable alerts in a single platform. By identifying inefficiencies and detecting faults early, edgeRX™ helps organizations reduce energy costs, minimize downtime, and ensure reliable, compressed air delivery across operations.
