Description

Product Overview

The Bently Nevada 330930-045-03-05 serves as a critical extension cable specifically engineered for the 3300 NSv Proximity Transducer System. This component facilitates stable signal transmission between the proximity probe and the Proximitor sensor in rotating machinery. Because the cable architecture maintains high electrical fidelity, it ensures that vibration data remains accurate throughout the transmission path, which proves vital for precision monitoring applications.

Technical Specifications

• Model Number: 330930-045-03-05
• Component Type: 3300 NSv Extension Cable
• Cable Length: 4.5 meters (14.8 feet)
• Armor Configuration: Non-armored
• Connector Type: Standard with connector protector
• System Compatibility: 3300 NSv Proximity Transducer System
• Weight: 0.55 kg
• Material/Origin: Industrial-grade coaxial components, manufactured in the USA

Functional Characteristics

Engineers utilize this extension cable to bridge the gap between field-mounted probes and control room instrumentation. The design incorporates advanced shielding techniques to mitigate electromagnetic interference, which frequently occurs in high-density industrial environments. Furthermore, the inclusion of a connector protector safeguards the interface against environmental contaminants. Consequently, the system delivers reliable, low-noise signal outputs that enable operators to perform precise diagnostic analysis on machine behavior without signal degradation.

Integration and Performance

Maintenance teams deploy the 330930-045-03-05 cable in scenarios where physical site constraints require flexible cabling solutions. Although the unit lacks stainless steel armor, the cable retains high durability for use in standard machinery casings and protected conduits. Moreover, the integration process remains straightforward, as the standardized connectors ensure compatibility with existing 3300 NSv hardware. By maintaining consistent impedance characteristics, this extension cable supports long-term equipment reliability and facilitates effective predictive maintenance strategies across various industrial sectors.