Brüel & Kjær Vibro

The VC-8000/SETPOINT® suite of products by Brüel & Kjær Vibro provides award-winning technology that streams comprehensive vibration data into PI, eliminating the need for costly, stand-alone vibration monitoring software.


Brüel & Kjær Vibro is headquartered in Darmstadt, Germany and provides comprehensive solutions for mechanical condition monitoring on rotating and reciprocating machinery. Our Gardnerville, Nevada operations (BK Vibro America Inc) are home to the VC-8000/SETPOINT® family of products. VC-8000 is an API 670-compliant hardware that can be used to continuously protect machinery and/or stream its data (including full waveforms) into the OSIsoft PI System. Once in the PI System, this data can be archived and analyzed using a complete set of visualization tools designed specifically for vibration professionals. The VC-8000 hardware can thus act as a “PI System gateway” and accepts raw vibration signals directly from sensors or underlying protection systems, including 3rd party systems. It digitizes this data and streams it into a PI Server with Asset Framework (AF). The SETPOINT® software’s patented change detection technology ensures that the PI Server and its connected networks are never clogged with excess data, while ensuring that interesting data, such as machine starts, stops, and anomalies are always available in ultra-high resolution fidelity. Existing PI System users can add these data streams by simply allocating adequate tags (typically, about 12 tags per vibration sensor) in their PI Server. The PI System receives this data from VC-8000 hardware via a specialized software component (PI Adapter) which runs as an embedded application inside the VC-8000 rack, on the PI Server itself, or elsewhere in the PI System. An existing PI Server or a separate PI Server dedicated to vibration can be used to store data. Detailed waveforms and other specialized plot formats are viewed in the SETPOINT® CMS software. Up to 300 channels of vibration data (typically enough for 15-20 machine trains) can comfortably reside on a single PI Server, and data can be replicated to other PI servers using a PI-to-PI Interface.


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