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.