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  • Bently 3500/22M 288055-01 Transient Data Interface Module
  • Bently 3500/22M 288055-01 Transient Data Interface Module
  • Bently 3500/22M 288055-01 Transient Data Interface Module
Bently 3500/22M 288055-01 Transient Data Interface Module Bently 3500/22M 288055-01 Transient Data Interface Module Bently 3500/22M 288055-01 Transient Data Interface Module

Bently 3500/22M 288055-01 Transient Data Interface Module

Bently 3500/22M 288055-01 Transient Data Interface Module

Product Details Introduction

The Bently Nevada 3500/22M 288055-01 Transient Data Interface Module is a critical component of the 3500 series vibration monitoring system, designed to capture and analyze transient data from equipment. These data usually involve rapidly changing signals of the equipment, such as vibration impact, acceleration changes, etc., which can effectively help predict and diagnose potential faults.

Main features:

Model: 3500/22M 288055-01

Function: Designed specifically for capturing and processing transient data, used for monitoring rapid changes in equipment. It provides early fault warning by analyzing the dynamic changes of equipment vibration, impact, etc. through high-frequency sampling.

Input/Output: Supports multiple analog inputs, including signals from accelerometers, speed sensors, etc. The module can connect multiple types of sensors for data collection.

Data transmission and processing: Processing real-time collected transient data, capable of transmitting data to the main control system or other monitoring modules through industry standard communication protocols such as Modbus and Profibus.

Compatibility: Compatible with other monitoring modules in the 3500 series, able to work together with other data modules such as vibration monitoring and temperature monitoring to form a complete monitoring system.

Application areas:

Equipment monitoring and fault diagnosis: widely used in industries such as power, oil and gas, manufacturing, mining, etc., to monitor various key equipment such as turbines, pumps, compressors, fans, etc. It helps engineers identify potential mechanical faults through transient data.

Equipment health management: By monitoring the dynamic behavior of equipment, identifying abnormal changes, taking maintenance or replacement measures in advance, and avoiding equipment downtime.

Real time data analysis: used to provide real-time status feedback, effectively reduce the occurrence of unexpected failures, and extend the service life of equipment

Product imag

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