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, Bellcore predictions, Telcordia predictions, FIDES predictions and NSWC Mechanical predictions.

Software Features

Lambda Predict makes it easy to build system configurations for analysis based on the MIL-HDBK-217-F (MIL-217), Bellcore/Telcordia, FIDES or NSWC Mechanical reliability prediction standards. The software provides a complete array of calculated results for your analyses (failure rate predictions, MTBF predictions, etc.) along with graphical charts and customizable reports. Lambda Predict 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. The software also provides exclusive access to the PartLibraries.org website portal, which allows users to search and import parts data from MIL-M-38510, EPRD-97 or NPRD-95 (free to all users) as well as more than 300,000 specific commercial electronic components (yearly subscription required).

Applications and Benefits

ReliaSoft’s 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 Lambda Predict 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.