Industrial Vibration Sensor AV-300

Real-time monitoring of bearing wear

The AV-300 sensor is designed for mounting on electric motors, pumps, and industrial fans. It uses a high-precision MEMS accelerometer and transmits data via the Modbus RTU protocol to the central maintenance system. The measurement range covers frequencies between 10 Hz and 10 kHz, and the IP67 housing ensures operation in dusty and humid environments. The integrated vibration spectrum analysis algorithm generates predictive alerts up to 30 days before a fault occurs.

What Factory Managers Say

Real feedback from maintenance teams using the platform daily

Frusina Dumitrache

Head of Maintenance Department, Auto Components Factory

5

“Since we started using the AV-300 sensors and the PredictPro platform, we have reduced unplanned downtime by 40%. The predictive alerts helped us replace the bearings exactly when needed, without stopping the assembly line.”

Predictive Maintenance

Mitică Achim

Production Manager, Metal Processing Plant

4

“The KPS-200 kit has gotten us out of trouble several times. We have the essential parts at hand, and inventory management is simple thanks to the modular case. The only thing I would improve is to include some gaskets for older machinery.”

Spare Parts

Mr. Robert Dragomir

Technical Director, Industrial Production Company

5

“PredictPro gave us a clear picture of the condition of each machine. Now we can schedule technical overhauls based on actual wear, not a fixed calendar. We reduced spare parts costs by 25%.”

Integrated Software

Relu Rotaru

Maintenance Engineer, Packaging Factory

4

“The AV-300 sensors are easy to install and have very good accuracy. We managed to detect an abnormal vibration in a motor 3 weeks before it failed. It would be useful to have a wireless version for hard-to-reach areas.”

Industrial Sensors

Dr. Fabian Nicoara

Predictive Maintenance Consultant

5

“I implemented the PredictPro platform at three different factories and the results are consistent: downtime reduced by 30-50% and better inventory management. The machine learning algorithms adapt well to the specific patterns of each piece of equipment.”

Implementation

Frusina Dumitrache

Head of Maintenance Department, Auto Components Factory

4

“The integration with our ERP was simple, and the SMS notifications help us react quickly. I would suggest adding a custom reporting module for the different production lines.”

ERP Integration

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