Bently Nevada 990-05-XX-01-00, Modular Vibration Transmitter

Operating Voltage:220V

Output Frequency:50 kHz

Sensing Range:N/A

Sensitivity:1 μm

Installation Type:Non-contact

Operating Temperature:100 °C

Package/Casing:Injection Molding

Characteristic:High Temperature Resistance

Termination Type:Gold Connector

Minimum Number of Packages:1

Application Areas:Equipment

Item Number:004

Applicable Products:Steam Turbine

    The Bently Nevada 990-05-XX-01-00 MOD:165335-01 Vibration Transmitter is engineered for the most demanding industrial environments, specifically tailored for steam turbine operations. Its robust design ensures reliable operation under extreme temperatures, delivering critical data necessary for efficient maintenance and operation.

    Featuring a non-contact installation type, this transmitter minimizes wear and tear on sensitive machinery, enhancing its longevity and reducing maintenance costs. With an operating voltage of 220V and an output frequency of 50 kHz, it seamlessly integrates into existing systems for seamless data transmission.

    Engineered for high sensitivity, the device can detect minute changes in vibration patterns, which are indicative of potential mechanical issues before they escalate into costly failures. This proactive monitoring capability ensures that maintenance activities are conducted at the optimal time, maximizing equipment uptime and productivity.

    Crafted from premium materials, including an injection-molded casing for enhanced durability, and equipped with a gold connector for reliable electrical connections, this transmitter is designed for long-term performance. The inclusion of a high-temperature resistance characteristic makes it suitable for use in high-heat environments typically found in steam turbine operations.

    With an item number of 004 and applicability to steam turbines, this transmitter is a key component in ensuring the safe and efficient operation of industrial machinery. It is part of a comprehensive monitoring system that supports predictive maintenance strategies, ultimately leading to reduced downtime and increased operational efficiency.