Warning: include(rslocale3.php) [function.include]: failed to open stream: No such file or directory in /home/relias5/public_html/sites/weibull.com/hotwire/issue120/index.htm on line 3

Warning: include(rslocale3.php) [function.include]: failed to open stream: No such file or directory in /home/relias5/public_html/sites/weibull.com/hotwire/issue120/index.htm on line 3

Warning: include() [function.include]: Failed opening 'rslocale3.php' for inclusion (include_path='.:/usr/lib/php:/usr/local/lib/php') in /home/relias5/public_html/sites/weibull.com/hotwire/issue120/index.htm on line 3
ReliaSoft's Reliability HotWire: Issue 120

In this issue: Issue 120, February 2011
 Hot Topics Reliability Basics Tool Tips Latest Software Updates Hot News Contribute to HotWire

Reliability HotWire is a service of ReliaSoft Corporation

To subscribe or update your e-mail preferences, go to http://www.weibull.com/hotwire/index.htm
Hot Topics
Building a Composite Function in the Weibull++ Function Wizard
The Function Wizard in Weibull++ allows you to use both math functions, which are functions such as cosines or logarithms commonly found in spreadsheet software packages, and data source functions, which are functions such as reliability or failure rate that are based on data contained in a Weibull++ data sheet. In addition, the Function Wizard allows you to build composite functions by combining any number of math and/or data source functions into a single equation. This article will provide an example of building a composite function using the Weibull++ Function Wizard.

Reliability Basics
Relating Distribution Parameters to Real-World Applications
For managers and engineers who are new to reliability, it can be difficult to relate the parameters of a statistical distribution to their real-life reliability requirements. Consider, for example, the fact that the eta parameter of the Weibull distribution is the time by which about 63.2% of the units in a population are expected to fail. In practice, this value may not be particularly useful. When looking at warranties, for instance, the maximum percentage of units that can fail during a warranty period is often 10% or less. For this reason, it can be easier to understand and explain reliability concepts in terms of metrics other than those that statisticians typically use. This article presents an example of constructing a contour plot for the Weibull distribution using the beta parameter and the time at which 10% of the units in the population are expected to fail (i.e., the B10 life).

Tool Tips
• When I use the "Save Log of Simulations" feature in BlockSim 7 and calculate the average of all the individual results, why isn’t that value identical to the results from a single set of simulations using the standard approach?
• Can I configure Xfmea 5/RCM++ 5 to give a particular user access to some projects but not others?