BENTLY+3500/53M

  • Model Number: 3500/53M
  • Manufacturer: Bently Nevada (a division of Baker Hughes)
  • Type: Vibration Monitoring Module
  • Compatible Systems: Bently Nevada 3500 Monitoring System
  • Channels: Typically supports up to 2 channels (depending on configuration)
Manufacturer:

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Description

Product Name:

Bently Nevada 3500/53M Monitoring System Module

Product Description:

The Bently Nevada 3500/53M is a specific module within the Bently Nevada 3500 monitoring system, which is designed for machinery protection and condition monitoring. This module focuses on monitoring and analyzing vibration signals from machinery. It provides critical insights into the operational health of rotating machinery, helping ensure efficient performance and avoiding potential failures.

Product Parameters:

  • Model Number: 3500/53M
  • Manufacturer: Bently Nevada (a division of Baker Hughes)
  • Type: Vibration Monitoring Module
  • Compatible Systems: Bently Nevada 3500 Monitoring System
  • Channels: Typically supports up to 2 channels (depending on configuration)
  • Signal Input:
    • Seismic or proximity sensors
    • Supports various sensor types (e.g., eddy current, piezoelectric)

Specifications:

  • Voltage Supply: Typically 24 VDC (depends on system configuration)
  • Temperature Range: -20°C to +65°C (-4°F to +149°F)
  • Measurement Range: Varies based on sensor type and configuration
  • Communication Protocol: RDAC (Real-time Data Acquisition and Communication)
  • Output: Analog and digital outputs for integration with control systems
  • Alarm and Warning Settings: Yes, configurable thresholds for alerts

Product Use:

The 3500/53M module is primarily used in industrial environments to monitor the health and performance of rotating machinery such as turbines, pumps, compressors, and fans. Its main functions include:

  • Vibration Analysis: By measuring vibrations, the module helps identify any irregularities or potential failure conditions (like imbalance, misalignment, and bearing wear).
  • Trend Monitoring: Continuous data collection allows for ongoing trend analysis to predict maintenance needs.
  • Predictive Maintenance: Supports a proactive maintenance strategy, allowing operators to address issues before they lead to machinery failures and costly downtimes.
  • Integration: Can integrate with broader monitoring systems for streamlined machinery health assessment and reporting.

BENTLY+3500/53M

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  • Email: sales@plcfcs.com
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