condition monitoring


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condition monitoring

The measurement of various parameters (such as vibration, bearing temperature, oil pressure, and performance) related to the mechanical condition of machinery; this information is used to predict whether a breakdown is apt occur in the very near future.
References in periodicals archive ?
There are four stages to implementing ABB Ability Asset Vista Condition Monitoring for metals.
The global machine condition monitoring equipment market is expected to reach $3.2 billion by 2023.
The level of insight provided by condition monitoring data means that businesses can identify critical components that are most likely to fail.
We are excited to extend the smart condition monitoring system capabilities to Falk A and Y units, and coupled with Rexnord Industrial Services, provide a comprehensive monitoring solution that can be retrofitted to these existing mission-critical assets."
At the Bauma 2019, Liebherr presents the demo version of an app showcasing future Condition Monitoring possibilities for numerous components - from diesel engines to energy storage units, hydraulics, gearboxes and slewing bearings.
The event, a popular condition monitoring conference for industrial plant professionals having a focus on machinery health monitoring, will take place from April 9 to 12, 2019, at the Westin Abu Dhabi Golf Resort & Spa.
Alamgir also highlighted the importance of Condition Monitoring in today's competitive world.
Tan Delta Systems is the global leader in oil condition monitoring technologies and systems that reduce equipment operating costs.
Evaluation findings informed the development of 1) a condition monitoring scale bar for inclusion on the national CoCoRaHS reporting form and 2) a web map to spatially display the condition monitoring reports.
According to Grunwald, the MICA platform makes it possible to connect existing turbines quickly and cost effectively, adapting them for condition monitoring and predictive maintenance.
"Our new condition monitoring services enable operations teams to move from a reactive or prescriptive stance to a more knowledge-based, predictive model that makes it possible to receive advanced warning of issues with equipment and proactively plan for scheduled maintenance based on algorithms and data analytics."
Version 2.3 of its automatic condition monitoring and prognostics software empowers maintainers and their managers to quickly see for how long assets can be expected to keep performing as they should, and what they will need to do to avoid unplanned downtime.