Prevent Costly Downtime with 3-Axis Vibration Sensor

High-Resolution Monitoring, Minimal Setup

The QM30VT3 from Turck Banner is a high-performance vibration sensor featuring 3-axis capability and integrated VIBE-IQ machine learning. It autonomously establishes baseline measurements and alert thresholds, enabling predictive maintenance through real-time detection of machine faults—without the need for complex setup or external processing hardware.

By handling data processing internally, the QM30VT3 allows for straightforward integration into Modbus networks. Its high-resolution sensing across all three axes enhances fault coverage, while advanced signal analysis enables early identification of mechanical issues—supporting efforts to avoid unplanned downtime and maintenance costs.

The QM30VT3 Benefits At-A-Glance

3-Axis Sensing for Complete Machine Insight

The QM30VT3 delivers ultra-low noise monitoring across all three axes—X, Y, and Z—ensuring accurate fault detection and consistent performance in any mounting orientation. Unlike typical 2-axis and standard 3-axis MEMS, with high noise on the Z-axis, the QM30VT3 maintains precision even in tight or constrained spaces, offering greater installation flexibility without compromising reliability.

This enables early detection of critical issues like angular misalignment and dynamic imbalance, no matter how the sensor is positioned.

Smart Built-In Predictive Maintenance

Solving Real Problems with the QM30VT3

Detect Signs of Gearbox and Bearing Failure

Challenge: A package sort facility faced unexpected motor failures despite routine spot checks. Without continuous monitoring, faults went undetected, leading to reactive maintenance, costly downtime, and reliance on expensive expert assessments.

Solution: The QM30VT3 replaced manual checks with continuous monitoring, using automated baselines and alert thresholds to detect issues early. This shifted maintenance from reactive to predictive, reducing downtime and emergency repairs while boosting efficiency.

Detect Bearing Wear and Pulley Drive Misalignment

Challenge: A manufacturing plant relied on a 3-axis MEMS sensor to monitor belt-driven fans, but high noise in the third axis made fault data unreliable. This forced maintenance teams to choose between risking undetected damage or reacting to false alarms—resulting in both unplanned downtime and unnecessary interventions.

Solution: The QM30VT3 enabled accurate, all-axis fault detection—eliminating false alarms and enhancing reliability with built-in VIBE-IQ. Real-time baseline learning allowed for true predictive maintenance, reducing downtime and improving asset performance.