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 failure rate for parts under specific operating conditions can be calculated as:. View Table of Contents Payment Processing. Time plot and the calculated B10 life for the belkcore. The models allow reliability prediction to be performed using three methods for predicting product reliability: Therefore, the prediction is usually more accurate, given that enough samples are used in the testing. The models allow reliability prediction to be performed using three methods for predicting product reliability:.
These techniques tr-3332 the mean failure rate in FITs for electronic equipment. While the Arrhenius model emphasizes the dependency of reactions on temperature, the Eyring model is commonly used for demonstrating the dependency of reactions on stress factors other than temperature, such as mechanical stress, humidity or voltage. Empirical prediction methods are based on models developed belldore statistical curve fitting of historical failure data, which may have been collected in the field, in-house or from manufacturers.
This leads to the concept of reliability prediction.
Reliability prediction is an important element in the process of designing or selecting equipment. On the other hand, with the beolcore testing method, since the failure data from your own particular products are obtained, the prediction results usually are more accurate than those from a general standard or model.
A model known as the modified Coffin-Manson model has been used successfully to model crack growth in solder due to repeated temperature cycling as the device is switched on and off.
The Telcordia standard also documents a recommended method for predicting serial system hardware reliability.
Notice 1 and Notice 2 Since it is bllcore chemical process, the aging of a capacitor such as an electrolytic capacitor is accelerated by increasing the operating temperature. This approach is based upon an understanding of the physical properties of the materials, operation processes and technologies used in the design. 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 tr-3332 Identify weakareas in a ebllcore design Build and open multiple systems and projects files Drag and drop components and systems between projects Powerful charting facilities.
The failure rate for a part under the reference conditions is calculated as:. With this method, a test is conducted on a sufficiently large sample of units operating under normal usage conditions. First, we will discuss empirical prediction methods, which are based on the experiences of engineers and on historical data. Because of dissatisfaction with military handbook methods for their commercial products, Bellcore designed its own reliability prediction standard for commercial telecommunication products.
The empirical or standards based methods can be used in the design stage to quickly obtain a rough estimation of product reliability. As an example, suppose that an IC td-332 is tested in the lab and the failure data are recorded. These powerful facilities transfer as much of the available information as possible, saving you valuable time and effort. Bellcore capacitor failure rate example.
Device and tr-332 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.
Black developed an empirical model to estimate the MTTF of a wire, taking electromigration into consideration, which is now generally known as the Black model.
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.
Times-to-failure are recorded and then analyzed with an appropriate statistical distribution in order to estimate reliability metrics such as the B10 life. Several different approaches have been developed to achieve the reliability prediction of electronic systems and components.
The MIL-HDBK predictive method consists of two parts; one is known as the parts count method and the other is called the part stress method . Generally, chemical reactions can be accelerated by increasing the system temperature. 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 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.
Next, we bellcroe discuss physics of failure methods, which are based on root-cause analysis of failure mechanisms, failure modes and stresses. This empirically based model is known as the Arrhenius equation. Revised generic device failure rates in Section 8, based mainly on new data for many components. Figure 4 shows the data and calculated parameters. These facilities enable you to experiment with temperature, environmental and stress settings and see how your system performance will vary.
For example, for the Weibull distribution, the life characteristic is the scale parameter eta and for the lognormal distribution, it is the log mean. There are many different empirical methods bsllcore have been created for specific applications. Since electronic products usually have a long time period of useful life i. These predictions provide necessary input to system-level reliability models for predicting expected downtime per year and system availability.
Issue 4 of SR provides all the tools needed for predicting device tr3-32 unit hardware reliability, and contains important revisions since the document was last issued.
FAQ: What is Telcordia (Bellcore) SR?
A brief summary from the publications in industry, military and academia is presented next . It can also be used for:. 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.
Each reliability prediction module is designed to analyse and calculate component, sub system and system failure rates, including Mean Time Between Failure MTBFin accordance with the appropriate standard. However, the objective of reliability prediction is not limited to predicting whether reliability goals, such as MTBF, can be reached. The assumption is made that system or equipment failure causes are inherently linked to components whose failures are independent of each other. It is probably the most internationally recognized empirical prediction method, by far.
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.
This procedure also documents a recommended method for predicting serial system hardware reliability. The most common failure mode is “conductor open.