Bently Nevada 330130-045-00-00, 3300 XL Extension Cable

Brand:Bently Nevada

Model:330130-045-00-00

Series:3300 XL

Sensor Type:Vibration

Sensing Range:2mm

Sensitivity:1um

Output Type:Voltage

Installation Type:Non-contact

Operating Temperature:-40°C to 100°C

Package/Casing:Injection Molding

Characteristics:[“High Temperature Resistance”,”Gold Connector”]

Minimum Number of Packages:1

Application Areas:Equipment

Item Number:005

Applicable Products:Steam Turbine

    Engineered for exceptional durability and reliability, the Bently Nevada 330130-045-00-00, 3300 XL Extension Cable is designed to withstand the harsh environments often encountered in industrial settings. Its robust construction ensures stable performance over extended periods, even under extreme conditions.

    This extension cable seamlessly integrates with existing monitoring systems, providing a direct link to Bently Nevada’s advanced vibration analysis software. This integration allows for real-time monitoring of critical machinery, enabling predictive maintenance and minimizing downtime.

    Featuring a high-temperature resistant design, the 3300 XL Extension Cable can operate reliably in temperatures ranging from -40°C to +125°C, making it suitable for use in a wide array of industrial applications, including power generation facilities, petrochemical plants, and manufacturing plants.

    With its non-contact installation type, the cable minimizes the risk of contamination or damage to sensitive components, ensuring uninterrupted operation. The gold connector ensures a secure and reliable connection, enhancing the overall performance and longevity of the system.

    Designed with the end-user in mind, the Bently Nevada 330130-045-00-00, 3300 XL Extension Cable simplifies the process of integrating advanced vibration monitoring capabilities into existing industrial control systems. Its compatibility with Bently Nevada’s comprehensive suite of products and services further enhances its value, making it an indispensable tool for maintaining optimal operational efficiency in demanding industrial environments.