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Real-Time Condition Monitoring

Know the health of every machine on your floor — before problems become failures. Track vibration, temperature, RPM, and throughput in real time.

What We Monitor

Four critical parameters that tell you everything about machine health.

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Vibration

mm/s

Track velocity, acceleration & displacement across all axes

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Temperature

°C / °F

Surface & ambient thermal monitoring with trend analysis

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RPM

rev/min

Rotational speed monitoring for motors, spindles & drives

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Throughput

units/hr

Production output tracking correlated with machine health

How It Works

Four steps from sensor to action.

01

Connect

Deploy MachineCDN Edge sensors or connect to existing PLCs via Modbus, OPC-UA, or MQTT.

02

Monitor

Real-time dashboards show vibration, temperature, RPM, and throughput across every asset.

03

Alert

Smart alerts notify you when parameters drift — before they cause failures or shutdowns.

04

Act

Actionable insights with root cause analysis so your team knows exactly what to fix.

Why Condition Monitoring?

73% Reduction in Unplanned Downtime

Catch issues before they cascade into full machine failures.

40% Lower Maintenance Costs

Shift from reactive to condition-based maintenance strategies.

2x Faster Root Cause Analysis

Correlate sensor data across time and assets to pinpoint failures.

100% Visibility Across Assets

Every machine, every sensor, one unified dashboard.

Built for Every Asset Type

From extruders to compressors — MachineCDN monitors them all.

Extruders

Monitor barrel temps, screw RPM, pressure

Injection Molders

Cycle times, clamp force, hydraulic pressure

Chillers

Compressor health, refrigerant flow, COP

Conveyors

Belt speed, motor load, bearing vibration

Pumps

Flow rate, cavitation detection, seal monitoring

Compressors

Air pressure, motor temp, vibration trending

CNC Machines

Spindle vibration, tool wear, feed rate

HVAC Units

Refrigerant levels, coil temps, fan motors

Start Monitoring in Minutes

Connect your first machine and see real-time data in under 15 minutes.