Complete Array of Reliability Prediction Results, Plots and Reports
Failure Rate, MTBF, Pi Factors and Other Calculated Results
Lambda Predict automatically calculates a complete array of results from your reliability prediction and derating analyses. Depending on the prediction standard that you are using, this may include:
- Failure Rate (at the specified Mission Time)
- Steady-State Failure Rate (i.e., Failure Rate when the Mission Time is equal to infinity)
- Standard Deviation and Upper Confidence Bound for Steady-State Failure Rate
- Mean Time Between Failures (MTBF calculation)
- Contribution (made by the item to the Failure Rate of its direct parent)
- Unreliability (at the specified Mission Time)
- Early Life Factor (the ratio of the item's Early Life Failure Rate to its Steady-State Failure Rate)
- Non-Operational Failure Rate
- Derating Status (not stressed, exceeds nominal or stressed)
Graphical Plots and Charts
Lambda Predict provides a complete array of plots and charts to demonstrate your analysis graphically. This includes plots for Failure Rate, MTBF, Mission Time and Unreliability (plotted independently and versus Temperature, Environment, Stress, etc.). The Plot Setup gives you full control over the display settings and all plot graphics can be saved as *.jpg, *.gif, *.png or *.wmf files and inserted into other reports and presentations.
With the release of Version 3, you now have the option to create plots that present data from more than one system analysis. We have also added the ability to save the plot with the project (including all settings and a direct link to the original data source).
Template-Based Reports
Lambda Predict gives you the ability to generate template-based reports to present your analysis results or to export data into a desired format. Reports are generated in Microsoft Excel®, which provides maximum flexibility for additional customization and distribution. You can adjust the appearance of all predefined reports and also build and manage your own custom report templates to include information about Failure Rates, Application Parameters, Physical Parameters, Pi Factors, etc.
