Place of Origin:United States

Model Number:3500/22 146031-01

Series:Bently Nevada

Brand:Bently Nevada

Module Type:Vibration Monitoring System

Operating Frequency Range:1 Hz to 1 kHz

Sensitivity:0.5 μm peak-to-peak

Accuracy:±1% of full scale

Power Supply Voltage:10 to 30 VDC

Current Consumption:Typically less than 5 mA

Environmental Conditions:Operating temperature range: -20°C to +70°C; Storage temperature range: -40°C to +85°C

Dimensions:95 x 95 x 32 mm

Weight:Approximately 120 g

    Engineered for durability and reliability, the Bently Nevada 3500/22, 146031-01 excels in monitoring critical machinery within industrial environments. Its advanced signal processing capabilities enable precise measurement of vibration and temperature, facilitating proactive maintenance strategies to minimize downtime and enhance operational efficiency.

    Featuring an IP65 environmental rating, this monitoring system is built to withstand harsh conditions typically found in manufacturing plants, oil refineries, and power generation facilities. It operates efficiently across a wide temperature range, ensuring consistent performance under varying environmental conditions.

    The device supports a comprehensive suite of sensor compatibility, allowing for versatile integration with various vibration and temperature sensors. This flexibility empowers users to tailor their monitoring solutions to specific application requirements, enhancing diagnostic accuracy and system performance.

    With its robust RS485 communication interface, the Bently Nevada 3500/22, 146031-01 seamlessly integrates with existing industrial automation systems. This feature ensures seamless data transfer and real-time monitoring, providing operators with up-to-date insights into machine health and performance.

    Equipped with four relay outputs, the system offers a convenient means of alerting operators to critical status changes or maintenance needs. This proactive notification capability is crucial for maintaining safety standards and ensuring optimal operational conditions.