Bently Nevada 330100-90-01 Proximitor Sensor

Product Overview

The 330100-90-01 operates as a Proximitor sensor inside the Bently Nevada 3300 series. This signal conditioner converts eddy current probe input into a proportional voltage output. Consequently, it enables precise shaft vibration and position measurement in rotating machinery. Power stations and petrochemical facilities rely on this module for continuous machine protection.

Technical Specifications

Parameter	Value
Model	330100-90-01
Series	3300
Function	Proximitor / Signal Conditioner
Compatible Probes	3300 series 5 mm and 8 mm
Output Sensitivity	7.87 mV/µm (200 mV/mil)
Linear Range	2 mm (5 mm probe)
Supply Voltage	-18 Vdc to -24 Vdc
Output Impedance	50 Ω nominal
Operating Temperature	-35°C to +85°C
Storage Temperature	-40°C to +100°C
Mounting	Panel or bulkhead mount
Connector	3-pin coaxial
Weight	Approximately 250 g
Dimensions	95 mm × 70 mm × 25 mm
Frequency Response	0 to 10 kHz
Isolation	Galvanically isolated

Key Features and Interfaces

Furthermore, the 330100-90-01 offers a 3-pin coaxial interface for probe and extension cable connection. Its galvanic isolation blocks ground loops that distort measurement signals. In addition, the module accepts standard 3300 series probes without adapter hardware. Therefore, technicians replace units quickly during short maintenance windows.

Installation and Compatibility

Moreover, this Proximitor pairs directly with 3300 extension cables and proximity probes. The panel mount design fits neatly inside crowded control cabinets. Because the unit draws minimal supply current, it suits high-density monitoring racks. Subsequently, engineers integrate it into 3500 series systems and legacy 3300 installations alike.

Why Choose This Module

Additionally, the 330100-90-01 meets API 670 requirements for vibration monitoring chains. Its wide operating temperature supports placement near hot turbine casings. Meanwhile, the rugged housing resists vibration, moisture, and electromagnetic interference. As a result, maintenance teams gain dependable data for predictive maintenance strategies.