Prevent Costly Downtime

QM30VT3 3-Axis Vibration Sensor

The QM30VT3 High-Performance 3-Axis Vibration Sensor helps catch failures earlier, reduce downtime, and simplify predictive maintenance with precise, real-time diagnostics so teams can act before problems escalate. Built-in VIBE-IQ machine learning automatically establishes baseline levels and alert thresholds, delivering real-time fault detection without complex configuration while eliminating the need for external gateway or controller processing. By processing data on the sensor itself, the QM30VT3 simplifies integration into Modbus networks. High-resolution 3-axis sensing captures more faults across all three axes, while advanced signal processing ensures early detection of developing mechanical issues—helping teams prevent unexpected breakdowns and costly repairs.

  • 3-Axis Sensing: Capture a complete picture of machine health
  • VIBE-IQ: Built-in predictive maintenance—no expertise required
  • Wide Frequency Range: Monitor a full range of equipment and fault types with 6-5300 Hz detection
  • High-Speed Sampling: Prevent downtime in high-speed devices
  • FMax: Focus monitoring where it’s needed with adjustable frequency and resolution
  • HFE: Detect early signs of bearing and race wear in slow-moving equipment
QM30VT3 and QM30VT3-SS Vibration Sensors

QM30VT3 3-Axis Vibration Sensor

Key Features

1966

3-Axis

Sensing

5,500+

VIBE-IQ

Built-in

30+

2X

Faster Sampling and Processing than the VT2

4

FMax

is Configurable

10,000+

HFE

Vibration Analysis

Have a Question About Vibration Sensors?

3-Axis Sensing

Capture a Complete Picture of Machine Health

Ultra-low noise vibration monitoring on all three axes—X, Y, and Z—ensures a more complete view of machine health and greater installation flexibility compared to 2-axis sensors and most 3-axis MEMS sensors, which have up to three times more noise on their third axis. The QM30VT3 delivers ultra-low noise performance across all three axes, capturing vibration patterns that indicate critical early-stage faults that others miss, including angular misalignment and dynamic imbalance. Documenting which of the sensor’s axes correspond to the machine’s axes, the sensor can be mounted in the orientation that best fits the application, detecting everything from subtle imbalance to early-stage bearing wear—regardless of orientation or mounting position.

Built-In Predictive Maintenance—No Expertise Required

With VIBE-IQ built into the sensor, machine learning detects vibration baselines and automatically generates warning and alarm thresholds so anyone can monitor assets—no gateway or expertise required.

Wide Frequency Range

Monitor a Full Range of Equipment and Fault Types with 6-5300 Hz Detection

Detect early-stage fault symptoms in motors, gearboxes, and other equipment before failures escalate. From imbalances and misalignment to bearing wear and gear meshing, the 6 Hz to 5.3 kHz frequency range covers both low-speed and high-speed assets.

High-Speed Sampling

Prevent Downtime in Slow-Rotating Assets

Capture detailed low-frequency vibration data and short-duration impact events—like early-stage bearing faults—from slow rotating assets using a high-speed 26.8 kHz sample rate for clear resolution of high-frequency transients.

FMax

Focus Monitoring Where It’s Needed with Adjustable Frequency and Resolution

Adjustable Frequency Max (FMax) lets users tailor the frequency range and sample length to machine speed and fault characteristics. Higher FMax captures a broad frequency range, using shorter sample times and default resolution suitable for detecting faults in high-speed assets. Lower FMax values provide progressively finer sample resolution and longer sampling times for detecting faults in very slow-moving assets.

HFE

Detect Early Signs of Bearing and Race Wear in Slow-Moving Equipment

High-Frequency Enveloping mode (HFE) isolates high-frequency signals by filtering out low frequencies, making it easier to detect early-stage faults like bearing wear and lubrication issues. Combining HFE with a lower FMax setting extends sampling time and improves resolution while isolating high frequencies, which is critical for detecting weak high-frequency fault signatures in slow-speed assets otherwise masked by dominant low-frequency vibrations.

Configuration Example
D XMR90 - X1E QM30V T 3-MQP R70SR9MQ 1 2 3

At the center of this example is Banner's DXMR90-X1E Industrial Controller, which collects Modbus RTU data from eight QM30VT3 3-Axis Vibration Sensors. Five sensors are connected directly to the controller: four are daisy-chained in series to Port 4, and one is connected to Port 3. An R70 Serial Data Radio is connected to Port 1 and functions as a wireless receiver for the remaining three VT3 sensors, which are located farther away from the controller. Two of those sensors are daisy-chained into a single R70 for transmission, while the third uses its own dedicated R70. These radios transmit wirelessly to the R70 at Port 1, allowing the DXMR90 to access all eight sensors through a combination of wired and wireless connections. The DXMR90 uses its Ethernet interface to output data over EtherNet/IP, Modbus TCP, or PROFINET networks. This enables integration with PLCs, cloud platforms, or SCADA systems for real-time monitoring and long-term asset health tracking.

Applications

Proven Solutions That Keep Operations Running

Downloads
Brochures & Catalogs
Filename
QM30VT3 Vibration and Temperature Sensors Flyer
pdf
592K
31 Mar 2025
Software
Filename
SNAP SIGNAL Configuration Software v2.7.6.0
msix
70.9MB
30 Aug 2024
Technical Literature

English Documents

Filename
QM30VT3 High-Performance 3-Axis Vibration and Temperature Sensor
pdf
2.3MB
28 Mar 2025
Loading...
Filename

Videos
  • QM30VT3 3-Axis Vibration Sensor Overview

    QM30VT3 3-Axis Vibration Sensor Overview

    An overview of the QM30VT3 3-Axis Vibration Sensor's functionality

    Watch Video
  • QM30VT3 Mounting Best Practices

    QM30VT3 Mounting Best Practices

    This video covers some of the best practices for mounting the QM30VT3 vibration sensor.

    Watch Video
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