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Asset Health Monitoring

Asset Health Monitoring (AHM)

Asset Health Monitor, a cutting-edge IoT device designed specifically for monitoring machine acoustics, vibrations, temperature, and ultrasonic sound frequencies.

Asset Health Monitor is a compact, versatile, and highly advanced monitoring device equipped with a range of sensors to provide comprehensive insights into the health and performance of industrial assets.

AHM a Perfect Fit for Your Assets

Plug and Play, 4-in-1 Parameter Measurement

​The sensor can detect and measure Triaxial Vibration, Temperature, Acoustic Emissions, and Magnetic flux. With a response time of less than 3 seconds, the AHM sensor can be easily configured and deployed on your own.

Fits your Operations, Wherever They May be!

Leveraging its M2M service provider and edge computing functionality the sensor ensures a seamless data transfer regardless of your infrastructure. Plus the C1D1, Zone 0 certification ensures a safe and reliable device in explosive & hazardous Environments.

Predictive Reliability

Asset Health Monitoring uses AI-driven predictive analytics to enable smart systems, optimizing performance, preventing failures, and automating maintenance—ensuring long-term reliability with minimal human intervention.

The Features of Asset Health Monitoring

Real-time Monitoring

The AHM's AI-driven sensors monitor vital systems in real time, optimizing efficiency and safety with instant alerts for anomalies.

Continuous data acquisition

AI-powered sensors enable continuous data acquisition, tracking AHM's vital systems in real time for optimal performance and instant anomaly detection.

Intelligent data processing

AI-driven analytics instantly process AHM sensor data, enabling adaptive control, predictive maintenance, and real-time optimization of life-support systems.

User-friendly dashboard

An intuitive dashboard displays AHM's real-time vitals with clear visuals, alerts, and controls for effortless system monitoring and management.

AI/ML-based Predictive Analysis

AI/ML predicts AHM system failures and optimizes resources by analyzing trends, enabling proactive maintenance and efficient self-sustainability.

The AHM Line of Predictive Maintenance Sensors

Specifications of AHM

✓  The device delivers precise readings with an impressive accuracy of ≤±2% F.S.

✓  It responds quickly to changes with a response time of 3 seconds or less.

✓  The device operates reliably even in extreme temperatures of up to 250℃.

✓  It is designed to withstand dust and water exposure with IP65-rated protection.

Why Your Factory Needs the IEMA-AHM

1. Say Goodbye to Unexpected Downtime

Powered by AI and machine learning, the IEMA-AHM  predicts motor failures before they happen—keeping your production running smoothly and avoiding costly interruptions.

2. Get Real-Time Insights at Your Fingertips

Monitor your motor’s health live with a smart, user-friendly dashboard that puts critical temperature and vibration data right in front of you—anytime, anywhere.

3. Smarter Maintenance, Bigger Savings

Optimize your maintenance schedule with powerful data trends and historical analysis that help you fix issues before they escalate—saving time, money, and manpower.

4. Built Tough for the Factory Floor

Designed to perform in the harshest conditions, this rugged device handles heat, humidity, and dust with ease—thanks to its industrial-grade build and IP65 protection.

Lets Discuss Asset Health Monitoring (AHM)

Let’s discuss key for predictive maintenance, reducing downtime, and optimizing performance in industrial and infrastructure systems.