Telcordia continues to revise and update the standard.įor this example, the life of an electronic component is considered to be affected by temperature.
In this article, we discussed three approaches for electronic reliability prediction.
In using the above models, the model parameters can be determined from the design specifications or operating conditions.ĭVR SEMPLIFICATO PDF Bellcore/Telcordia Reliability Prediction in Lambda Predict These techniques estimate the mean failure rate in FITs for electronic equipment. Several popularly used models are discussed next.
The Telcordia standard also documents a recommended method for predicting serial system hardware reliability. Historically, this term has been used to denote the process of applying mathematical models and component data for the purpose of estimating the field reliability of a system before failure data are available for the system. This lends the procedure and the predictions derived from it a high level of credibility free from the bias of any individual supplier or service provider. However, the objective of reliability prediction is not limited to predicting whether reliability goals, such as MTBF, can be reached.
Download Demo Web Demo Spec Sheet Training Screen shots click to enlarge Grid view Dialog view Chart view Features Powerful and user friendly Telcordia telecom standard reliability prediction software Combine prediction methods for complex analysis Optimize designs to meet targeed goals Select components with regard to reliability and cost savings Be more accurate and efficient than with manual methods Take advantage of powerful ‘what if’ analytical tools Identify weakareas in a system design Build and open multiple systems and projects files Drag and drop components and systems between projects Powerful charting facilities. These standards use a series of models for various categories of electronic, electrical and electro-mechanical components to predict steady-state failure rates which environmental conditions, quality levels, electrical stress conditions and various other parameters affect. The models allow reliability prediction to be performed using three methods for predicting product reliability. Empirical prediction methods are based on models developed from statistical curve fitting of historical failure data, which may have been collected in the field, in-house or from manufacturers. Numerous experiments with different stress conditions have been reported in the literature, where the values have been reported in the range between 2 and 3. txt) or read online.Įmpirical or Standards Based Prediction Methods Empirical prediction methods are based on models developed from statistical curve fitting of historical failure data, which may have been collected in the field, in-house or from manufacturers. Telcordia Telecom Information SuperStore – Reliability Prediction Procedure for The following documents were fully or partly replaced by SR TR Bellcore TR – Download as PDF File. Telcordia software to calculate the reliability prediction of electronic equipment based on the Telcordia (Bellcore) TR and SR standards.