Bently Nevada 3500/93 135785-02 System Display Unit

Product Overview

The Bently Nevada 3500/93 135785-02 is a System Display Unit / Interface Panel Display designed for the 3500 Machinery Protection System. It provides real-time visualization of machine condition monitoring data, including alarms, events, and operational status.

This module plays a key role in the human-machine interface (HMI) of the Bently Nevada 3500 system, allowing operators to quickly assess equipment health and respond to faults.

Key Features

• Real-Time Data Display
  Displays system data such as:
  • Alarm and event lists
  • Channel and monitor data
  • Relay, Keyphasor, and tachometer information
• Local or Remote Monitoring
  Supports both on-site and remote visualization of system status
• Multiple Mounting Options
  • Panel mount
  • Rack mount (19-inch)
  • Face mount
  • Independent installation
• Backlit Display
  Ensures clear visibility in low-light industrial environments
• API 670 Compliance
  Designed to meet API 670 standards for machinery protection systems

Technical Specifications

• Display Type: LCD (backlit / transflective)
• Resolution: Typically 640 × 200 or 640 × 480
• Display Size: ~7 inches (varies by configuration)
• Power Consumption: ~15.5 W max
• Operating Temperature:
  • Approx. -40°C to +85°C (industrial grade)
• Dimensions: ~41.5 × 20.5 × 5 cm
• Weight: ~2.1–2.15 kg

Function in 3500 System

The 3500/93 module acts as a display interface, meaning:

• It does NOT process vibration signals directly
• It visualizes processed data from monitoring modules
• It outputs:
  • System status
  • Alarm conditions
  • Trend data
  • Configuration information

Typical Applications

Widely used in condition monitoring of rotating machinery, including:

• Steam turbines
• Compressors
• Pumps
• Generators
• Fans

Industries:

• Power generation
• Oil & gas
• Petrochemical
• Heavy manufacturing

Advantages

• Improves operational visibility
• Enables faster fault diagnosis
• Enhances equipment safety and reliability
• Supports predictive maintenance strategies