The Bently Nevada 9200 series is part of the Bently Nevada monitoring systems, primarily designed for machine health monitoring and protection.

Product Name:

Bently Nevada 9200-01-01-10-00

Product Description:

The Bently Nevada 9200 series modules are designed for real-time monitoring of machinery to ensure optimal performance and reduce downtime. This specific module provides advanced vibration monitoring capabilities, allowing for continuous assessment of equipment health. It is suitable for various industrial applications, including turbines, compressors, and motors.

Product Parameters:

• Measurement Type: Vibration
• Input Channels: Typically 1-16 channels, depending on configuration
• Signal Conditioning: Integrated
• Output Type: 4-20 mA current output, digital communication options available (like Modbus)
• Network Compatibility: Designed to integrate with Bently Nevada’s monitoring systems

Specifications:

• Power Supply: 18-30 V DC
• Operating Temperature Range: -20°C to +70°C
• Storage Temperature Range: -40°C to +85°C
• Humidity Ratings: Up to 95% non-condensing
• Compliance: CE certified, may meet other regulatory standards depending on configuration and application
• Dimensions: Varies; typically designed to fit into standard enclosures (size varies by specific model)

Product Use:

The Bently Nevada 9200-01-01-10-00 module is utilized in numerous applications for machinery health monitoring, including:

• Predicative Maintenance: Alerts technicians to potential failures before they occur, enabling maintenance activities to be planned rather than reactive.
• Vibration Analysis: Continuous monitoring of vibration levels helps in diagnosing issues like imbalance, misalignment, and bearing failures.
• Data Acquisition: Enables collection of historical data for trend analysis, assisting in long-term asset management and planning.

The Bently Nevada 9200 series modules are commonly used in industries such as oil and gas, power generation, aerospace, and manufacturing, where the reliability of rotating machinery is critical to operational success.