Brief Function Introduction:
The Bently Nevada 1900/65A-172323-01 General Purpose Equipment Monitor is a high-performance monitoring solution designed for industrial applications. It provides comprehensive monitoring capabilities for equipment health, ensuring reliability and safety in manufacturing processes.
Product Specifications:
Operating System: | Windows 10 Pro |
Processor: | Intel Core i7 |
RAM: | 16GB DDR4 |
Storage: | 512GB SSD |
Network Interface: | Gigabit Ethernet |
Power Supply: | 12V DC |
Dimensions: | 17.5 x 14.5 x 3 inches |
Weight: | 25 lbs |
Product Details:
Engineered for durability and reliability, the Bently Nevada 1900/65A-172323-01 is built to withstand harsh industrial environments. Its robust design ensures accurate and consistent performance over long periods, minimizing downtime and maintenance costs.
Featuring advanced 24-bit ADC conversion technology, this monitor offers unparalleled precision in measuring vibration, position, speed, and temperature, critical for predictive maintenance and proactive issue resolution.
With its four customizable inputs, the system allows for seamless integration with various sensors, enabling comprehensive monitoring across different types of equipment. The configurable scale factors and full-scale ranges provide flexibility to suit diverse application requirements.
The internal OK checking feature ensures system integrity, alerting users to potential issues before they escalate into critical failures. The independent Alert and Danger setpoints empower users to define thresholds for timely notifications, enhancing operational efficiency.
Equipped with a 200-entry event list, the monitor stores detailed historical data, facilitating trend analysis and informed decision-making. The six relay outputs offer versatile control options, supporting a wide range of automation tasks.
The buffered outputs for each transducer channel protect against transient voltage spikes, safeguarding sensitive equipment. The four configurable 4-20 mA recorder outputs enable real-time data logging, crucial for process optimization and compliance with industry standards.
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