Engineered for precision and reliability, the Bently Nevada 3300-16-12-01 is a state-of-the-art industrial control module designed to monitor, control, and optimize critical processes in manufacturing environments.
Operating Temperature Range:-40°F to +185°F (-40°C to +85°C)
Power Supply Voltage:90V to 264V AC or 18V to 32V DC
Processing Speed:3.5 million instructions per second
Communication Protocol Support:MODBUS RTU, CANopen, DeviceNet
Number of Inputs:16
Number of Outputs:12
Memory Capacity:128 KB
Operating System:Bently Nevada proprietary firmware
The Bently Nevada 3300/16-12-01 boasts a compact yet robust design, ideal for installation in tight spaces within industrial machinery. Its modular architecture allows for easy integration and scalability, making it suitable for a wide range of industries including oil & gas, power generation, and manufacturing.
Equipped with cutting-edge signal processing technology, this system excels in detecting even subtle anomalies in operational parameters, enabling predictive maintenance and minimizing downtime. Its Ethernet/IP interface ensures seamless connectivity with other industrial systems, enhancing overall efficiency.
Built to withstand harsh environmental conditions, the Bently Nevada 3300/16-12-01 is certified for operation in areas classified as IP67, ensuring reliability in dusty and wet environments commonly found in industrial settings.
User-friendly software tools accompany the hardware, offering intuitive setup and configuration processes, as well as comprehensive diagnostic reports. This makes it accessible to both experienced engineers and technicians looking for streamlined solutions.
Incorporating energy-efficient components, the Bently Nevada 3300/16-12-01 operates with minimal power consumption, contributing to lower operational costs and reduced environmental impact without compromising performance.
Engineered for precision and reliability, the Bently Nevada 3300-16-12-01 is a state-of-the-art industrial control module designed to monitor, control, and optimize critical processes in manufacturing environments.