The Proximity Probe Housing Assemblies 21000-00-00-00-000-00-02 is an aluminum proximity probe housing assembly designed for industrial machinery monitoring applications. This robust component forms part of Bently Nevada's comprehensive vibration monitoring system, featuring a durable construction with threaded ports for conduit connections and a dome cover that securely screws into the housing body. The 21000 aluminum probe housing assembly Bently Nevada is certified as CSA Type 4 explosion-proof enclosure, making it suitable for hazardous area installations when used with intrinsically safe systems.

Measuring 8.5×8.5×30.5cm and weighing 1.08kg, the 21000-00-00-00-000-00-02 Bently Nevada Proximity Probe offers flexible installation options with its reverse mount proximity probe design and optional standoff adapter. The assembly includes essential components such as O-rings, thread seal, and probe sleeve of variable length, while supporting two 3/4-14 NPT explosion-proof fittings. Manufactured in the USA and shipped from Xiamen, China, this housing assembly complies with API 670 standards for externally mounted proximity probes.

The 21000-00-00-00-000-00-02 Probe Housing Imports is particularly valuable for applications requiring external access to proximity probes, enabling convenient gap adjustment and probe replacement without machine disassembly. For axial position measurements with dual probes, Bently Nevada recommends using housing model 21022 instead. The 21000 series works optimally when the machine casing is properly affixed to the bearing for accurate vibration measurements.

Engineered for reliability in demanding environments, the Bently Nevada 21000-00-00-00-000-00-02 Proximity Probe represents the industry standard for machinery protection systems. Its design accommodates various installation scenarios, though sleeves longer than 304mm require additional support to minimize vibration. Bently Nevada offers complementary accessories like the 37948-01 probe support and oil seal for specialized applications, ensuring optimal performance across different operational conditions.