Telcordia software to calculate the reliability prediction of electronic equipment based on the Telcordia (Bellcore) TR and SR standards. Free trial. 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 .pdf), Text File .txt) or read online.

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The models allow reliability prediction to be performed using three methods for predicting product reliability:. In using the above models, the model parameters can be determined from the design specifications or operating conditions. In contrast to empirical reliability prediction methods, which are based on the statistical analysis of historical failure data, a physics of failure approach is based on the understanding of the failure mechanism and applying the physics of failure model to the data.

Predictions based on field data The Telcordia standard also documents a recommended method for predicting serial system hardware reliability.

Telcordia Electronic Reliability Prediction Software to TR and SR Standards

This valuable feature comes in especially handy when it is necessary to transfer data from one project or library to another.

However, in this section of the article, we are using the term life testing method to refer specifically to a third bellcorr of approach for predicting the reliability of electronic products. Electronic devices with aluminum or aluminum alloy with small percentages of copper and silicon metallization are subject to corrosion failures and therefore can be described with the following model [11]:.

Sitemap Legal Privacy Contact Us. Figure 5 shows the reliability plot and the estimated B10 life at the usage temperature level. Empirical 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.

Screen shots click to enlarge. This procedure also documents a recommended method for predicting serial system hardware reliability.

First, we will discuss empirical prediction methods, which are based on the experiences of engineers and on historical data. The Telcordia Reliability Prediction Procedure has a long and distinguished history of use within and outside the telecommunications industry. 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.


In this article, we discussed three approaches for electronic reliability prediction. The assumption is made that system or equipment failure causes are inherently linked to components whose failures are independent of each other. The models allow reliability prediction to be performed using three methods for predicting product reliability:.

As an example, suppose that an IC board is tested in the lab and the failure data are recorded. Because of dissatisfaction with military handbook methods for their commercial products, Bellcore designed its own reliability prediction standard for commercial telecommunication products.

Recommended methods for predicting device and unit hardware reliability. These standards use a series of models for various categories of electronic, electrical and electro-mechanical components to predict belpcore failure rates which environmental conditions, quality levels, electrical stress conditions and various other parameters affect.

These powerful facilities transfer as much of the available information as possible, saving you valuable time and effort. The models allow reliability prediction to be performed using three methods for predicting product reliability: A given electronic component will have multiple failure modes and the component’s failure rate is equal to the sum of the failure rates of all modes i.

Bellcore/Telcordia Reliability Prediction in Lambda Predict

Several popularly used models are discussed next. Device and unit failure rate predictions generated using this procedure are applicable for commercial electronic products whose physical design, manufacture, installation, and reliability assurance practices meet the appropriate Telcordia or equivalent generic and product-specific requirements.

It is probably the most internationally recognized empirical prediction method, by far. The most common failure mode is “conductor open. Telcordia continues to revise and update the standard. For example, for the Weibull distribution, the life characteristic bfllcore the scale parameter eta and for the lognormal distribution, it is the log mean.


Click to Request Price Quote. The standard provides the generic failure rates and three part stress factors: Powerful global editing facilities are available for performing “what if” evaluations. Contact us now for a price list, free trial or quotation: When using SR, you may need to refer to GR The models allow reliability prediction to be performed using three methods for predicting product reliability: After the analysis is complete, ITEM ToolKit’s integrated environment comes into its own with powerful conversion facilities for transferring data to other modules of the tr-32.

Bellcore/Telcordia Predictions

Once the prototype of a product is available, lab tests can be utilized to obtain more accurate reliability predictions. The Turnover Point,” Proc.

Users can construct hierarchical breakdowns of systems with no restrictions on block numbers or levels of indenture. The life testing method can provide more information about the product than the empirical prediction standards.

Revised generic device failure rates in Section 8, based mainly on new data for many components.

As mentioned above, ttr-332 data from life testing may be incorporated into some of the empirical prediction standards i. The physics of failure and life testing methods can be used in both design and production stages.

Powerful and user friendly Telcordia telecom standard reliability prediction software.

Bellcore/Telcordia Reliability Prediction in Lambda Predict

The Black model employs external heating and increased current density and is given by:. The te-332 rate is 9. Method II is based on combining Method I predictions with data from laboratory tests performed in accordance with specific SR criteria. 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.