The Allen-Bradley 1440-VLF02-01RA, also known as the XM-121 Low Frequency Dynamic Measurement Module, is designed to monitor low-frequency dynamic signals such as vibration, pressure, and strain in industrial machinery, providing critical data for predictive maintenance and operational efficiency.
| Manufacturer | Rockwell Automation |
| Brand | Allen-Bradley |
| Product Type | Low Frequency Dynamic Measurement Module |
| Part Number | 1440-VLF02-01RA |
| Inputs | Two dynamic input channels; one tachometer input |
| Voltage Ranges | ±24V DC for dynamic inputs; 24V DC supply voltage |
| Communication Types | DeviceNet, RS-232 |
| XM Bus Communication Rate | 125 Kbps, 250 Kbps, or 500 Kbps (autobaud) |
| Thermal Dissipation | 8.7 W maximum |
| Field Power | 24V DC, 350 mA |
| Status Indicator | Module, Network, Channel 1, Channel 2, Tachometer |
| Input Power | 24V DC, 350 mA |
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The Allen-Bradley 1440-VLF02-01RA (XM-121) is engineered to monitor low-frequency dynamic signals, including vibration, pressure, and strain, in industrial machinery. It features two dynamic input channels capable of processing signals from various transducers, such as accelerometers and velocity sensors, and includes a tachometer input for speed measurements.
Operating on a 24V DC power supply with a current draw of 350 mA, the XM-121 module communicates via DeviceNet and RS-232 interfaces, ensuring seamless integration into existing control systems. The XM bus supports autobaud rates of 125 Kbps, 250 Kbps, or 500 Kbps, enhancing adaptability to different network configurations.
The module is equipped with status indicators for Module, Network, Channel 1, Channel 2, and Tachometer, providing real-time visual feedback on operational conditions. Its compact design and robust functionality make it suitable for a wide range of industrial applications, including turbines, motors, pumps, and compressors. By delivering accurate monitoring of low-frequency dynamic parameters and protection features, the XM-121 module contributes to enhanced operational efficiency and reduced downtime in critical machinery systems.