Vibration Monitoring

Mechanical assets in industry play a critical role within a facility and have a dramatic effect on production. Therefore the utilization of advanced technologies to understand their health will impact production and overall business effectiveness. Vibration monitoring allow operators to quickly and accurately identify developing faults and provide fast actionable information to prioritize maintenance activities.Emerson’s CSI 2140 takes those vibration measurements to the next level with simultaneous four-channel plus phase data collection and unique peak detection capabilities for the earliest indication of bearing and gearbox degradation.

Emerson's CSI 2130 stands alone as the industry-leading vibration data collector and provides advanced vibration analysis, cross-channel analysis, transient analysis and dynamic balancing. The CSI 2130 is available with either one or two channels for vibration analysis and requires only minimal training for effective operation. Embedded diagnostics enable even a novice user to conduct sophisticated tests with the touch of a button.
Vibration data collection and analysis is the foundation of any predictive maintenance or reliability programs. Emerson’s CSI 2140 provides four-channel plus phase data collection and unique peak detection capabilities for the earliest indication of bearing and gearbox degradation. The CSI 2140 was designed to meet the toughest user challenge.
Emerson's CSI 2600 Machinery Health Expert satisfies the need between two-channel portable analyzers and permanently-installed online vibration monitoring. Before a planned outage, connect all 24 channels of the CSI 2600 to simultaneously record continuous time waveforms.
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PROGNOST Systems GmbH provides specialized technology for asset performance management of reciprocating piston compressors. Operation and monitoring of these assets, which are often process-critical, occurs under extremely varying operating conditions. With high-frequency data recording, automated real-time diagnoses and self-learning damage pattern recognition PROGNOST® systems meet industry requirements and enable the linkage of component condition data with maintenance cycles to acquire life-cycle information for efficient maintenance scheduling.
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Spartan Controls 2016 Education Course Calendar