Category: Reliability Analysis
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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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How to assess EAM and CBM predictive capability
The article Take the EAM data health check provided maintenance engineers with a form for submitting their CBM and EAM data for assessment of its predictive decision support capability. In this article we’ll describe the methods we use to scrutinize the data and report on its analytical potential. Graph of CBM data and events The…
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Take the EAM data health check
If biological health depends on the quality of food we ingest a maintenance department will thrive on a diet of “good” data that it will convert to optimal decisions. Data analysis covers a vital role in maintenance management. Yet most managers doubt the analytic capability of historical data stored in their EAM work order systems.…
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Challenges to Achieving Reliability from Data
Slide 1 The objective (slides) We should think of data as an ocean over which we navigate hoping to arrive at our destination. Most maintenance organizations having been overwhelmed by limitless data, lose sight of their journey’s end. The shore they seek is the ability to “achieve reliability from data”. Slide 2 The milestones Many…