3500-50 -133442-01 | Bently Nevada | I/O Module with Internal Terminations

Bently Nevada is a global leader in industrial asset condition monitoring and protection, specializing in vibration, pressure, and speed measurement solutions for critical machinery. Founded in 1956 by Don E. Bently, the company pioneered eddy-current proximity probes, revolutionizing rotor dynamics monitoring. Acquired by GE in 2002, Bently Nevada operates in over 50 countries, serving industries such as oil & gas, power generation, and mining. Its product portfolio includes sensors, monitoring systems like the 3500 Series, diagnostic instruments, and predictive maintenance software such as System 1. With over 25,000 customers worldwide, the company combines more than 60 years of expertise with cloud-connected solutions to enhance asset reliability and operational safety.

The Bently Nevada 3500/50 133442-01 is a Machinery Protection Monitor Module designed for real-time monitoring of rotating machinery in industrial applications. It integrates with the Bently Nevada 3500 series system, providing precise measurements of vibration, temperature, and position to detect potential faults such as imbalance, misalignment, or bearing wear. The module supports up to four configurable sensor inputs and communicates via RS-485 (Modbus RTU), ensuring seamless integration into existing monitoring systems. Its robust design allows operation in harsh industrial environments (0°C to 60°C), with self-diagnostic features for enhanced reliability.

The 3500/50 133442-01 is widely used in industries like power generation, oil & gas, and refining, where it helps prevent costly downtime by enabling early fault detection. It can be configured for speed monitoring, zero-speed indication, and rotor acceleration alarms, making it versatile for various machinery protection needs. Additionally, it supports keyphasor signal generation, eliminating the need for a separate keyphasor module in the 3500 rack. Its peak-hold function records the highest machine speed, aiding in performance analysis and maintenance planning.

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