Category: Reliability Analysis
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Is “random failure” really random?
The word “Random” might confuse us when we refer to Nowlan and Heap’s failure pattern B that describes “age independent failure”. When using the word random applied to an event, we tend to infer that the event is unpredictable. Randomness suggests a non-coherence, such that there is no intelligible pattern or combination that may be discerned. But maintenance…
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Reliability analysis in 2 dimensions-Part 2
Part 2 Sample generation In order to conduct Reliability Analysis we require a sample. What is a sample? Assume that this vertical arrow represents the time line on which maintenance work orders are issued and executed. We’ll consider five work orders conducted over a period of calendar time. Work order 1 was a functional failure…
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Data analysis precedes reliability analysis
Modern diesel engines are reliable. Nevertheless internal components do fail occasionally. More often failures occur in ancillary components such as injectors, coolant pump, fuel pump, lubricant pump, and other components. When performing a reliability analysis we don’t prejudge the outcome of the analysis. Our objective is to discover relationships between failure probability and observed data…
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RAM and RCA
RAM analysis RAM Purpose Types of RAM performance predictions RAM technique – Monte Carlo Simulation (MCS) “Simulating” a single mission of 10000 hours Averaging the results of many simulation runs Summary of the RAM MCS method A simple first example Another simple example RAM example 3 – a complex system RAM example 4 –…