Tag: LRCM
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Predictive analytics
The advent of the Mesh Living RCM cloud service brings true predictive maintenance to the forefront of Condition Based Maintenance (CBM) technology. The mind map describes the elements of this new capability offered to maintenance departments.
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Thoughts from a mine maintenance engineer
A mine maintenance engineer writes: My topic of interest is on how to evaluate the risk, failure effects and cost implications on components and work in general, in order to achieve the best cost per hour scenario and availability of equipment. For an example, if we look at a component. It has high hours!! but…
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Mesh: 12 steps to achieving reliability from data
Mesh is a Living RCM (LRCM) knowledge management system. It interfaces with the EAM in order to achieve two principal objectives: Once Mesh has been set up to work with your EAM you may use these 12 steps (slide presentations) as a guide for achieving reliability from data. 1 Configure the Mesh parameters 2 Build…
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RCM – Dashboards
The RCM Dashboard application (App) consists of five “sheets”: RCM Progress Failure Mode Detail Mitigation Task Detail Criticality Analysis, and Knowledge Management The following explanations will help you to begin using the visualization objects of each sheet. Each object (chart or table) can be expanded to full screen using the double arrow icon on its…