The Bently Nevada 9571-10 Interconnect Cable is a rugged industrial accelerometer designed for continuous vibration monitoring of critical rotating machinery. As part of Bently Nevada's comprehensive condition monitoring solutions, the 9571-10 Bently Nevada Standard Interconnect Cable delivers precise vibration measurements for predictive maintenance programs in power plants, refineries, and manufacturing facilities. Its durable stainless steel housing provides IP67 protection against moisture, dust, and extreme temperatures ranging from -40°C to 120°C (-40°F to 248°F), ensuring reliable operation in the most demanding industrial environments.

Engineered for accuracy, the 9571-10 Bently Nevada PDF features a wide frequency response range from 2Hz to 10kHz with ±5% measurement consistency across operating conditions. The sensor's integrated electronics provide stable 4-20mA output signals compatible with most control systems, while its robust construction withstands continuous vibration exposure in heavy industrial applications. With its high sensitivity of 100mV/g, the Bently Nevada 9571-10 in Stock excels at detecting early-stage machinery faults in turbines, compressors, and other critical assets.

The Bently Nevada 9571-10 Interconnect Cable offers flexible installation options including stud mounting, magnetic base, and adhesive configurations for versatile deployment. Its two-wire loop-powered design simplifies integration with existing monitoring systems while reducing installation complexity. Field-proven in thousands of industrial applications worldwide, this accelerometer has become a trusted solution for machinery protection where consistent vibration monitoring is essential for preventing unplanned downtime.

As part of Bently Nevada's vibration monitoring ecosystem, the 9571-10 helps plants implement effective condition-based maintenance strategies. Its combination of measurement precision, environmental durability, and ease of integration makes it an invaluable component for optimizing equipment reliability and operational efficiency in critical industrial processes.