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Let's discuss which predictive maintenance solutions fit your needs
IoT sensors for vibration, temperature, and equipment health monitoring to predict failures before they cause downtime.
Equipment failures don't happen suddenly—they develop over time. A bearing starts vibrating differently weeks before it seizes. A motor runs hotter as it degrades. The signs are there, but without sensors, you can't see them.
Our Predictive Maintenance solutions use IoT sensors to continuously monitor equipment health. Vibration analysis detects bearing wear. Temperature sensors catch overheating motors. You fix problems during planned downtime, not emergency shutdowns.
Choose from 8+ proven solution patterns for predictive maintenance.
Bearing temperature up 12°C from baseline. Alert fires. You replace it during scheduled downtime, not emergency.
Calendar says PM in 30 days. Runtime says PM needed now. Actual usage drives maintenance, not guesswork.
Hot spot on electrical panel. 15°C above baseline. Fix it during planned downtime, not after the fire.
Motor current pattern changed. Winding fault developing. You catch it weeks before the motor burns out.
Particle count trending up over 4 samples. Bearing wear developing. You catch it before catastrophic failure.
Vibration and temperature sensors on critical equipment. Issues detected weeks before failure. Downtime eliminated.
₹18L per year leaking from compressed air lines. Ultrasonic sensors find them. ROI in months.
Vibration baseline: 2.1 mm/s. Today: 4.8 mm/s. Motor bearing failing. You schedule replacement.
Let's discuss which predictive maintenance solutions fit your needs