Skip to content

Banner Engineering QM30VT2

Vibration and Temp Sensor, Modbus Slavevia RS-485e, Aluminum Housing, QD Cable

Mfr. Part #: QM30VT2 / RS Stock #: 71866470

Banner Engineering

Banner Engineering QM30VT2

Mfr. Part #: QM30VT2
RS Stock #: 71866470

Description

Vibration and Temp Sensor, Modbus Slavevia RS-485e, Aluminum Housing, QD Cable

In Stock:

4

Price

Qty.

Standard Price

1

$314.00

Additional Inventory

On order:

4

Manufacturer Lead Time:

1 week

Info
Estimated manufacturer lead time is for quantities greater than shown above.
Minimum Qty: 1
Multiples Of: 1
Unit Price:
$

/Each
Total Price:
$
0 item(s) added to cart
Add Update Cart button Bulk pricing available
Order more items to receive a discount of

Product Specifications

Product Attribute
Attribute Value
Alternate Mfr Part Number
806276
Body Style
Rectangular
IP Rating
IP67
Mounting Type
Surface Mount
Output
Serial
Supply Voltage
3.6-5.5 VDC
Termination
Quick Disconnect

Overview

Banner QM30VT Series — Wireless Vibration and Temperature Sensors:

QM30VT Series sensors have a low-profile design and rigid metal construction that reduces resonant interference and increases surface contact, enabling exceptional levels of accuracy in measuring RMS velocity and temperature. They are able to detect even slight increases in machine vibration and temperature for early identification of potential problems.

Features:
  • Communicates performance data using a MultiHop Modbus Radio or 1-Wire Serial Node to a DXM Series wireless controller or gateway
  • Detects potential problems on motors, fans, pumps, and any machine with rotating motion or vibration
  • Ultracompact design fits easily in small spaces
  • Available in models with a 316L stainless steel housing or a heavy-duty aluminum housing
  • Fully compatible with Connected Data Solutions software and the Wireless Solutions Kit for Vibration and Temperature
  • Expose machine performance issues caused by misalignment, unbalance, bearing failures, pump cavitation, blade damage, etc.
  • Reduce downtime by providing predictive insights to potential issues before a failure can occur
  • Establish more strategic scheduling of equipment maintenance
  • Reduce spare parts inventories by having predictive insights to future failures
  • Monitor machines and collect data in industrial applications as well as in challenging environments where exposure to washdown is possible