BENTLY+3500/62 136483-01

Description

The Bently Nevada 3500/62 is a monitoring module designed for use in industrial applications, primarily for the protection and monitoring of rotating machinery. Here’s an overview of its key features, parameters, and specifications:

Product Name

Bently Nevada 3500/62 – DCS PLC Module

Product Description

The Bently 3500/62 is a part of the 3500 series of machinery monitoring systems. This module is specifically designed for monitoring vibration and providing real-time data on machine conditions. It is widely used in industries such as power generation, oil and gas, and manufacturing to ensure the reliability and safety of critical equipment.

Key Features

• Vibration Monitoring: Capable of measuring and analyzing vibration data from rotating machinery.
• Data Acquisition: Collects real-time data for diagnostics and predictive maintenance.
• Integration: Can be integrated into existing DCS (Distributed Control Systems) and PLC (Programmable Logic Controllers) for centralized monitoring.
• Alarm Functions: Provides alarm outputs based on user-defined thresholds.
• User-friendly Interface: Offers easy access to configuration and data analysis tools.

Product Parameters

• Input Channels: Typically supports multiple input channels for connecting various sensors.
• Signal Types: Compatible with different types of sensors, including proximity probes and accelerometers.
• Communication Protocols: Supports common industrial communication protocols for data exchange.

Specifications

• Power Supply: Usually operates on a specified voltage range (commonly 20-30 VDC).
• Operating Temperature: Designed to function within a specified temperature range (e.g., -40°C to +70°C).
• Weight: Varies based on configuration but generally lightweight for easy installation.
• Dimensions: Standard module dimensions for rack or panel mounting.

Applications

• • Vibration analysis for rotating machinery (e.g., turbines, compressors, pumps).
  • Condition monitoring in manufacturing and process industries.
  • Predictive maintenance to reduce downtime and extend equipment lifespan.
    

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