The Bently Nevada 3500/42M module is a high-precision monitoring system designed for industrial automation applications. It ensures reliable and accurate condition monitoring of critical machinery, enabling predictive maintenance and enhancing operational efficiency.
Operating Temperature Range:-40°F to 185°F (-40°C to 85°C)
Input Signal Types:4-20mA, 0-10V DC
Data Transmission Protocol:Modbus RTU
Relay Output:1 NO, 1 NC
Power Supply:12-36V DC
Dimensions (WxHxD):2.95in x 5.9in x 1.4in (75mm x 150mm x 36mm)
Experience unparalleled accuracy and reliability with the Bently Nevada 3500/42M system, designed specifically for critical industrial applications. This advanced monitoring solution seamlessly integrates with Bently Nevada sensors to provide real-time data on machine health and operational status.
Engineered to withstand harsh industrial environments, the system operates efficiently within a temperature range from -40°C to +85°C (-40°F to +185°F), ensuring continuous performance under extreme conditions.
With its Ethernet/IP and Modbus TCP/IP compatibility, the Bently Nevada 3500/42M system enables seamless integration into existing industrial networks, facilitating efficient data transmission and analysis.
The compact and space-saving design makes it ideal for installations in confined spaces without compromising on functionality or performance. Whether you’re managing complex machinery or optimizing maintenance schedules, this system is your trusted partner for industrial automation.
Backed by decades of experience in industrial diagnostics, the Bently Nevada 3500/42M system is engineered to deliver precise measurements, enabling proactive maintenance strategies and enhancing overall plant efficiency. Upgrade your industrial monitoring today with confidence in the reliability and precision of Bently Nevada.
The Bently Nevada 3500/42M module is a high-precision monitoring system designed for industrial automation applications. It ensures reliable and accurate condition monitoring of critical machinery, enabling predictive maintenance and enhancing operational efficiency.