Fluid Life launches new vibration data analysis tool
14/07/2021
Fluid Life, a North American provider of equipment reliability solutions and lubrication analysis, has announced the launch of its new Vibration Data Analysis Tool. With vibration data analysis, critical machines can be monitored safely while in operation using permanently mounted accelerometers that collect data in near real-time and at a lower cost than traditional data collection methods.As an integral part of Fluid Life’s Unified Condition Monitoring (UCM) system, the incorporation of vibration data analysis eliminates scattered data across various platforms or vendors and significantly improves the efficiency and effectiveness of reliability programme decision-making.
“Adding vibration analysis to UCM brings all the core condition monitoring technologies into one trended and correlated view,” said Jeff Keen, Fluid Life Vice President, Reliability Services.
The methodology used is efficient and cost-effective for clients and goes beyond traditional data analysis techniques. It effortlessly separates fault identification peaks in the fast Fourier transform (FFT) into simple trends and spectral content, in combination with other telemetry data, can be analysed within myLab rather than relying on overall trends alone.
Jude Iyinbor, Fluid Life Machinery Vibration Specialist, Reliability Services, said: “It’s time to say goodbye to unplanned machinery downtime. Vibration, oil, telemetry and process data are now collected and critically analysed in myLab. By automatically separating complex spectral plots, fault identification peaks are pinpointed and trended, providing clarity when making maintenance decisions.”
The Vibration Data Analysis tool is flexible and can be configured to utilise a customer’s existing sensors or other accelerometers that are offered by Fluid Life. Fluid Life oil analysis customers using myLab can request access to the Vibration Data Analysis module to enable visualisation and/or analysis of vibration data captured remotely from their machinery.
