Lambda Predict: Standards Based Reliability Prediction Software Tool
MIL-217 * Bellcore/Telcordia * NSWC Mechanical
When
actual product reliability data is not available, standards based reliability
prediction may be used to evaluate design feasibility, compare design
alternatives, identify potential failure areas, trade-off system design
factors and track reliability improvement. ReliaSoft's Lambda Predict
software tool supports failure rate predictions and mean time between
failure predictions (MTBF predictions) based on the
major reliability
prediction standards, including
MIL-HDBK-217 predictions (MIL-217
predictions), Bellcore predictions, Telcordia predictions and NSWC Mechanical
predictions.
Software Features
Lambda Predict provides a complete array of calculated results (failure rate prediction, MTBF prediction, etc.) along with graphical charts and customizable reports. The software also offers a full set of supporting tools, including a reliability allocation utility, derating analysis and the ability to transfer and manage your data via flexible import/export utilities.
Lambda Predict Features Summary
Available Training
ReliaSoft offers a two-day training course that introduces the subject of standards based reliability prediction. The seminar provides hands-on training in the use of the Lambda Predict software tool for building and analyzing system configurations in accordance with a published reliability prediction standard, with emphasis on MIL-HDBK-217 predictions, Bellcore predictions, Telcordia predictions and NSWC Mechanical predictions.
RS 490: Standards Based Reliability Prediction
Step-by-Step Training Guide (*.pdf)
Applications and Benefits
The Lambda Predict software provides a comprehensive platform for building and analyzing systems in accordance with published reliability prediction standards. Some of the many applications for using standards based reliability prediction techniques and ReliaSoft's Lambda Predict software include the ability to:
- Obtain an initial indication of whether a design will be able to meet reliability objectives and identify potential problem areas early in development.
- Compare design alternatives and/or trade-off system design factors.
- Consider environmental and other stress factors that have a significant impact on system performance yet may otherwise be overlooked.
