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Bently Nevada 3300 Series/

Bently Nevada 330101-00-12-20-02-05 3300 XL 8 mm Proximity Probes

Brand:Bently Nevada
Part Number:330101-00-12-20-02-05
Product:3300 XL 8 mm Proximity Probes
Origin:USA
Payment: T/T, Western Union
Price: USD 99
Dimensions:4.5 meters
Weight:0.45 kg
Warranty: 12 months

  • Product Details
  • Datasheet

Product Overview

The Bently Nevada 330101-00-12-20-02-05 belongs to the 3300 XL 8 mm family of proximity probes. These sensors measure radial vibration, axial position, and shaft displacement on rotating machinery. Consequently, plant engineers obtain accurate readings for protection and condition monitoring.

Technical Specifications

Parameter Detail
Model 330101-00-12-20-02-05
Series 3300 XL
Category 8 mm Proximity Probe
Probe Tip Diameter 8 mm
Total Length 1.2 meters
Connector Type Coaxial, 75 ohm triaxial
Weight Approximately 0.28 kg
Probe Body Material 304 stainless steel
Tip Material Polyphenylene sulfide (PPS)
Operating Temperature -35°C to +177°C
Storage Temperature -51°C to +177°C
Linear Range 2.0 mm (80 mils)
Sensitivity 7.87 V/mm (200 mV/mil)
Component Count One probe, one integral cable
Energy Storage Not applicable (passive sensor)

Design and Construction

This probe features an 8 mm tip, which balances sensitivity with generous clearance. Additionally, the 304 stainless steel body resists corrosion and mechanical stress. The PPS tip handles high temperatures without degrading signal quality. Moreover, the integral coaxial cable simplifies wiring and reduces connection points.

Compatibility and Installation

This sensor pairs with 3300 XL extension cables and 3300 series transducers. During mounting, technicians should maintain proper target distance, because incorrect gaps distort readings. Furthermore, the probe threads into standard mounting brackets with ease. The 1.2-meter length fits many bearing housing configurations.

Key Benefits

Industrial plants choose this probe for its stable sensitivity and rugged construction. As a result, it delivers reliable vibration data across extreme conditions. This model also meets API 670 requirements for machinery protection. Ultimately, its accurate measurements support predictive maintenance programs.

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