Data Acquisition & Telemetry


Machinery health monitoring

March 2015 Data Acquisition & Telemetry

With the latest update to AMS Suite: Machinery Health Manager, the CSI 6500 protection system communicates additional prediction data to allow users to make real-time decisions on operating their critical assets.

Emerson Process Management has expanded the protection of critical assets to include basic prediction capabilities with only minimal time and wiring investments. These basic prediction capabilities for the CSI 6500 protection system are available in the recently released version 5.61 of AMS Suite: Machinery Health Manager.

Using a simple Ethernet connection from the CSI 6500, users receive periodic parameter trends and spectrum/waveform data delivered on specific intervals. This data is particularly useful for determining the health of sleeve bearings on turbo machinery. This automated process for acquiring prediction data eliminates the need to connect to buffered outputs on the protection system and reduces the risk of inadvertently causing a machine trip.

In addition, waveform data from the CSI 6500 is now incorporated onto the circular polar plots available in AMS Machinery Manager V5.61, facilitating diagnosis of developing valve faults in reciprocating compressors.

“Expanding the capabilities in our technology is just one way Emerson offers additional value to our users,” says Nathan Pettus, vice president of Emerson’s Reliability Solutions business. “Emerson is committed to developing customer solutions that capture more of the right data, and delivering it in a way that allows users to make real-time, quality decisions on how to operate their assets.”

Emerson’s AMS Machinery Manager integrates data from route-based, online, and wireless vibration solutions as well as third-party oil and infrared analysis data to provide a complete picture of machinery health.

For more information contact Michael Eksteen, Emerson Process Management, +27 (0)11 451 3700, [email protected], www.emersonprocess.com



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