Description
The BENTLY 3500/40M 140734-01 is a powerful monitoring module designed for industrial applications, specifically for the monitoring and diagnosis of equipment status. Below are its key parameters, specifications, dimensions, weight, series, features, and functions in English:
Parameters and Specifications:
Model Number: BENTLY 3500/40M 140734-01
Monitoring Capability: Designed to monitor a range of physical parameters, including vibration, displacement, pressure, and other mechanical characteristics.
Number of Channels: Features four independent channels for simultaneous monitoring of multiple devices or systems.
Accuracy: High precision sensors and circuit design ensure accurate monitoring results, crucial for fault diagnosis and predictive maintenance.
Dimensions and Weight:
Dimensions: Exact dimensions may vary slightly depending on the manufacturer and specific version. However, it is designed for compactness and easy integration into industrial systems.
Weight: The exact weight is not mentioned in the sources provided, but it is typically lightweight for ease of handling and installation.
Series:
This module belongs to the BENTLY 3500 series of industrial monitoring and control systems.
Features:
High Reliability: Constructed with high-quality components and materials, ensuring long-term stability and durability in industrial environments.
Programmable Alarm Settings: Allows users to configure alarm thresholds based on specific monitoring requirements.
Easy Integration: Compatible with existing Bently Nevada systems, simplifying the integration process.
Real-Time Monitoring: Provides real-time data feedback, enabling operators to respond quickly to changes in equipment status.
Data Recording: Capable of recording historical vibration data for trend analysis and fault diagnosis.
Functions and Applications:
Equipment Monitoring: Used to continuously monitor the status of industrial equipment, such as rotating machinery, pumps, and motors.
Fault Detection and Prevention: Through continuous monitoring, it helps detect potential faults early on, enabling predictive maintenance and reducing downtime.
Operational Efficiency: By providing accurate and timely data, it supports optimized operational decisions, leading to improved efficiency and reduced costs.
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