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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If the parameters cannot be determined without conducting a test, the failure data obtained from the test can be used to get the model parameters. Features Powerful and user belcore Telcordia tr-32 standard reliability prediction software Combine prediction methods for complex analysis Optimize designs to meet targeted 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 weak areas in a system design Build and open multiple systems and projects files Drag and drop components and systems between projects Powerful charting facilities ITEM ToolKit’s Reliability Prediction Modules ITEM ToolKit contains five modules for performing reliability prediction MTBF analysis.
This valuable feature comes in especially handy when it is necessary to transfer data from one project or library to another. These methods tend to present good estimates of reliability for similar or slightly modified parts.
Telcordia TR and SR Reliability Prediction Software from ITEM Software
Time plot and the calculated B10 life for the analysis. The Telcordia standard also documents a recommended method for predicting serial system hardware reliability. It contains instructions for suppliers to follow when providing predictions of their device, unit, or serial system reliability.
Black developed an empirical model to estimate the MTTF of a wire, taking electromigration into consideration, which is now generally known as bfllcore Black model. Tables needed to facilitate the calculation of reliability predictions. The failure rate for a part under the reference conditions is calculated as:. On Reliabilityvol. There are many different empirical methods that have been created for specific applications. This model takes the form :.
Issue 4 of SR provides the only hardware reliability prediction procedure developed from the input and participation of a cross-section of major industrial companies. As mentioned above, time-to-failure data from life testing may be incorporated into some of the empirical rt-332 standards i.
Several popularly used models are discussed next. Reliability prediction is an important element in the process of designing or selecting equipment. Time plot and calculated B10 life for the analysis. Issue 4 of SR contains: This procedure also documents a recommended method for predicting serial system hardware reliability.
It can also be used vellcore by telecommunications service providers for product reliability evaluation. As new sub blocks and components are added, ITEM ToolKit automatically recalculates all dependent failure rates to take account of new information. 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 program.
Each reliability prediction module is designed rt-332 analyse and calculate component, sub system and system failure rates, including Mean Time Between Failure MTBFin accordance with the appropriate standard. The models allow reliability prediction to be performed using three methods for predicting product reliability:.
At the end of the s, J. The table below lists some of the available prediction standards and the following sections describe two of the most commonly used methods in a bit more detail. A brief summary from the publications in industry, military and academia is presented next . Contact us now for a price list, free trial tr-3322 quotation: 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.
Notice 1 and Notice 2 Once the prototype of a product is available, lab tests can be utilized to obtain more accurate reliability predictions. Method III is a statistical prediction of failure rate based on field tracking data collected in accordance with specific SR criteria. Some parameters in the curve function can be modified by integrating engineering knowledge. Screen shots click to enlarge. The assumption is made that system or equipment failure causes are inherently linked to components whose failures are independent of each other.
In Method III, the predicted failure rate is a weighted average of the generic steady-state failure rate and the field failure rate. Three factors are usually considered for testing: It can also be used for:. The Telcordia Reliability Prediction Procedure has a long and distinguished history of use within and outside the telecommunications industry. Several different approaches have been developed belcore achieve the reliability prediction of electronic systems and components.
Features Powerful and user tr-33 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.
Screen shots click to enlarge Grid view Dialog view Chart view. 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. Electromigration is a failure mechanism that results from the transfer of momentum from the electrons, which move in the applied electric field, to the ions, which make up the lattice of the interconnect material.
In this article, we discussed three approaches for electronic reliability prediction. The models allow reliability prediction to be performed using three methods for predicting product reliability: According to different physics of failure mechanisms, one more term i.
Revised environmental factors in Section 9 based on field data and experience. Finally, we will discuss life testing tr332, which are used to determine reliability by testing a relatively large number of samples at their specified operation stresses or higher stresses and using statistical models to analyze the data. The Telcordia standard also documents a recommended method for predicting serial system hardware reliability.
Bellcore/Telcordia Reliability Prediction in Lambda Predict
The model takes the following form. Figure 4 shows the data and calculated parameters. Parts Count Method II: