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Bently 3500/22M 138607-01

The Bently 3500/22M 138607-01 is part of Bently Nevada’s 3500 Series, which is renowned for its comprehensive machinery protection and condition monitoring solutions. The 3500/22M model is specifically designed for monitoring machinery vibration and temperature to ensure the reliability and efficiency of critical industrial equipment.

Detailed content

Technical Specifications

  • Type: Machinery Monitoring System.
  • Model: 3500/22M.
  • Part Number: 138607-01.
  • Inputs:
    • Vibration: Accepts inputs from various types of vibration sensors, such as accelerometers.
    • Temperature: Can interface with temperature sensors for integrated condition monitoring.
  • Measurement Range: Capable of measuring a broad range of vibration frequencies and amplitudes, and temperature ranges.
  • Output Type: Provides analog and digital outputs that are compatible with industrial control and monitoring systems.
  • Power Supply: Operates on standard industrial power supplies; specific details are provided in the product datasheet.
  • Temperature Range: Designed to operate within industrial temperature ranges; details available in datasheet.
  • Communication: Features communication interfaces for integration with plant control systems.

Features

  • Precision Monitoring: High-precision sensors for accurate measurement of vibration and temperature.
  • Integrated Condition Monitoring: Combines vibration and temperature data for a comprehensive view of machinery health.
  • Advanced Diagnostics: Offers advanced diagnostic capabilities to identify potential issues early.
  • Durability: Designed to operate reliably in harsh industrial environments, including extreme temperatures and mechanical stresses.
  • Ease of Integration: Can be easily integrated with existing monitoring and control systems.

Applications

  • Machinery Protection: Continuous monitoring of critical machinery to prevent unexpected failures and maintain operational efficiency.
  • Condition-Based Maintenance: Supports maintenance strategies based on real-time condition data of the machinery.
  • Predictive Maintenance: Helps predict potential machinery failures by analyzing vibration and temperature data, allowing for proactive maintenance.
  • Process Optimization: Enhances machinery performance and reliability through detailed condition analysis and diagnostics.

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