Category Archives: Reliability Analysis
What’s the right data?
Most meetings or conversation about quantifiable reliability improvement usually end up in a discussion of data and how bad it is. How do we navigate around this impasse? It does seem as though most maintenance discussions, whether in formal meetings … Continue reading
RA requires LRCM
The idea behind EXAKT is an appealing one. What can be more desirable than a systematic way to determine the “exact” relationship between condition monitoring data and impending failure? Although I wish that I could say that EXAKT auto-magically generates … Continue reading
Interpreting failure data
Here is an excerpt from the famous Nowlen & Heap RCM report of 1978. It describes some basic difficulties in the analysis of reliability related data. The problem of interpreting failure data is further complicated by differences in reporting policy … Continue reading
Posted in Data and samples
Tagged Failure data, Information strategy, Nowlan and Heap
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Monte Carlo Simulation
In the context of maintenance and reliability, “simulation” refers to Monte Carlo Simulation (MCS). MCS generates and uses a stream of random numbers to represent failure (cumulative) probabilities and repair duration (cumulative) probabilities. It substitutes these random numbers for F(t) in the … Continue reading
Sample selection
A good sample should include both good and bad actors. For example, pumps that fail frequently as well as those that do not fail or fail infrequently should be included. This ensures an unbiased sample. Normally the analyst takes two … Continue reading