Category: Reliability Analysis
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Leading and lagging performance numbers
One point of discussion is the role of high level (lagging) KPIs. In mining, over the last decade, given the unrelenting world demand for resources, the KPI of greatest concern has been Availability, almost to the exclusion of other considerations. This view can falsify conclusions about real maintenance performance. One example concerns the shovels which…
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The data barrier to analysis
For years one maintenance organization has invested significant resources in all forms of improvement technology. These include a state-of-the art oil analysis laboratory, RCM, CBM integrated with CMMS, vibration analysis, diagnostics, real time monitoring, RCA, six-sigma, LEAN, TPM, Weibull, Proportional Hazard Modeling, Monte Carlo simulation, ISO 9000, 14000, 55000 and the list goes on. Yet…
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EXAKT vs Weibull
The difference is that Weibull is a reliability analysis procedure in two dimensions, namely Reliability versus Age. Its main purpose is to discover the relationship (equation) relating reliability and age. EXAKT is a reliability analysis software that relates several dimensions, namely Reliability versus Age versus each monitoring variable (condition indicator) discovered in the analysis procedure…
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Performance metrics – Low and High level KPIs
Performance metrics should point us to precisely what we need to improve currently in our maintenance process. That is, they should trigger a control action. Subsequently they should confirm and measure the extent to which the control action had the desired effect. Often, performance metrics do not indicate what management action must be taken to…
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What is the scale parameter?
In Weibull analysis, what exactly is the scale parameter, η (Eta)? And why, at t = η , will 63.21% of the population have failed, regardless of the value of the shape parameter, β (Beta)? η (Eta) is called the “scale parameter” in the Weibull age reliability relationship because it scales the value of age…