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| In this issue: |
Issue 61, March 2006 |
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Reliability HotWire is a service of ReliaSoft Corporation To subscribe or update your e-mail preferences, go to https://www.weibull.com/hotwire/index.htm |
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Probabilistic Event and Risk Analysis with RENO ReliaSoft's RENO is designed for probabilistic event and risk analysis. Using a graphical flowchart format, systems and/or scenarios can intuitively be built and then executed via simulation. RENO can also be considered as a "visual spreadsheet" that allows you to create and manipulate data and equations graphically, but with greater flexibility due to its ability to evaluate systems and scenarios that evolve over time.
The software supports the modeling of complex dependent probabilistic events. Applications include, but are not limited to, risk analysis, safety analysis, complex reliability modeling, maintenance, optimization and operational research problems. The following is an example that illustrates an application of RENO to assess the reliability of a system. To read more, see
https://www.weibull.com/hotwire/issue61/hottopics61.htm
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| Reliability Basics | |||||||||||||||||||||||||||
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Common Beta Hypothesis Test In Reliability Growth and Repairable Systems Analysis When conducting a reliability growth or a repairable systems analysis in RGA 6 on data consisting of multiple systems, you expect that each of the systems performed in a similar manner. In particular, you would expect the interarrival rate of the failures across the systems to be fairly consistent. A statistical test, called the Common Beta Hypothesis (CBH), is available to test for this assumption.
This test is important because it warns the analyst about the possibility that the systems, which are assumed to be similar, are in fact different (i.e. have different behavior). If the test fails to support the assumption, the analyst should investigate the reasons for difference between the multiple systems and possibly split the data into different separate analysis. Note that in repairable analysis or reliability growth, the systems need to be in the same configuration all the time. In other words, if a fix or improvement is implemented in one system it should be implemented across all the systems to keep the consistency between the various systems and to avoid creating a non-homogenous sample. The CBH tests whether other differences are present among the systems. This article describes this test and provides an example to illustrate how the test can be applied. To read more, see
https://www.weibull.com/hotwire/issue61/relbasics61.htm
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To read more, see
https://www.weibull.com/hotwire/issue61/tooltips61.htm
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| Latest Software Updates | |||||||||||||||||||||||||||
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A new service release is now available for
ALTA (Version 6.5.2). To determine
the compile revision of the application on your computer, select About
from the Help menu.
More Software Downloads...
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Contributions Welcomed As always, your feedback and contributions are appreciated. ReliaSoft is able to provide the most user-friendly reliability software packages and support because we listen to our customers. This applies to our newsletters and publications as well. We welcome any suggestions or contributions you may have for Reliability HotWire. If you have a topic or article that you think would be useful to the readers of Reliability HotWire, feel free to contact us. |
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Copyright 2006 ReliaSoft Corporation, ALL RIGHTS RESERVED |
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