Must-have Emerson Epro Con021+pr9268/200-000 Eddy Current Vibration Sensors Gadget [NwxD9gQA]

Emerson Epro CON021+PR9268/200-000 Vibration Sensors

The Must-have Emerson Epro Con021+pr9268/200-000 Eddy Current Vibration Sensors Gadget [NwxD9gQA] are designed for the precise monitoring of critical rotating machinery. This high-performance system integrates the PR9268 electrodynamic velocity sensor with the CON021 signal converter, offering a reliable solution for steam turbines, gas turbines, compressors, pumps, and fans. With its advanced technology, this system is an essential tool for predictive maintenance and condition monitoring, helping to detect early signs of mechanical wear or imbalance.

Product Specifications and Features

The Emerson Epro CON021+PR9268/200-000 features an electrodynamic velocity sensor with a sensitivity of 17.5 mV/mm/s (standard) or 28.5 mV/mm/s (extended range), ensuring accurate case vibration measurement. It operates within a frequency range of 4 to 1000 Hz and has a natural frequency of 4.5 Hz ± 0.75 Hz (extended range). The system can withstand a maximum acceleration of 10g continuous and 20g intermittent, with an operating temperature range of -20°C to 200°C (model-dependent). Key features include non-contact vibration measurement for high accuracy, strong noise immunity, temperature compensation, and compatibility with Emerson Epro MMS 3000 and MMS 6000 turbine monitoring systems.

Applications and Benefits

The Emerson Epro CON021+PR9268/200-000 is designed to enhance predictive maintenance efforts, enabling early detection of mechanical faults that could lead to costly downtime. Its robust construction ensures stable performance in extreme industrial environments. This system is ideal for facilities relying on critical rotating machinery, providing a comprehensive solution for vibration monitoring and condition-based maintenance. With its reliable performance and versatile design, the Emerson Epro CON021+PR9268/200-000 is a valuable asset for any maintenance team aiming to optimize machine reliability and reduce operational costs.