Tag: Mistaking failure for suspension
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LRCM reliability technician survey results
These are the results of a survey of a group of 9 technicians tasked to interact with the new Mesh work order closure form. This alternative entry method, a feature of “Living RCM” is meant to improve data quality for eventual reliability analysis. Mesh LRCM has two principal objectives. First, to ensure analyzable work order data,…
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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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The reliability data Catch 22
Ever wonder why poor historical work order data in the CMMS has been tolerated all these decades? One reason is that the fix is a human one. And human behavior is difficult to change. We tend to avoid difficult human problems, ultimately seeking a technological solution to everything. But there’s also a kind of paradox…
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Defeating CBM
The following slide presentation on the importance of distinguishing failures from suspensions on work orders, refers to the Proportional Hazard Model (PHM) and the shape parameter β. The shape parameter is calculated from a good sample of condition monitoring and age data by using the EXAKT CBM optimizing system. EXAKT uses PHM by including CBM…
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Failure declaration standards
A reliability engineer points out that in a mining operation hydraulic leaks in the fleet equipment are a major source of lost production. So during regular inspections the technicians are looking for leaks and if they find them they change the appropriate hose or component. However, it seems that they should be looking, not for…