Brand:Meggitt
Model Number:VIBRO METER CPU-M 200-595-064-114
Type:Advanced Measurement System
Operating Range:Wide range compatible with various industrial environments
Resolution:Highly sensitive, providing accurate data within specified limits
Accuracy:+/- 0.5% full-scale accuracy ensuring reliable readings
Frequency Response:Extensive coverage from 0.001 to 20 kHz for comprehensive analysis
Data Transmission:Supports multiple protocols for seamless integration
Power Consumption:Energy-efficient operation with low power draw
Dimensions:Compact design for easy installation and space-saving
Temperature Range:Operates reliably across a broad temperature spectrum
Environmental Protection:IP67-rated for dust and water resistance
The Meggitt Vibro Meter CPU-M 200-595-064-114 is engineered with cutting-edge technology to deliver unparalleled performance in vibration measurement. Its compact yet robust design ensures easy integration into existing industrial setups without compromising on functionality.
With its wide operating frequency range, this meter is capable of accurately capturing and analyzing vibrations across a broad spectrum, making it suitable for a variety of industrial applications. Its exceptional accuracy and fast response time enable immediate detection of anomalies, thereby enhancing operational safety and efficiency.
Featuring a user-friendly interface and intuitive operation, the CPU-M series from Meggitt provides real-time monitoring capabilities, allowing users to track vibration levels continuously and make informed decisions regarding maintenance schedules or operational adjustments.
The device is equipped with a durable construction and IP65 protection rating, ensuring reliable performance even in harsh environmental conditions. Its versatile connectivity options, including RS485 and Modbus RTU protocol, facilitate seamless data exchange with other industrial systems.
Ideal for integration into complex industrial control systems, the Meggitt Vibro Meter CPU-M 200-595-064-114 supports enhanced monitoring and predictive maintenance strategies, ultimately contributing to increased productivity and cost savings.
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