
Higher stresses and using statistical models to analyze the data. Relatively large number of samples at their specified operation stresses or Testing methods, which are used to determine reliability by testing a Processes and technologies used in the design.

Upon an understanding of the physical properties of the materials, operation Of failure mechanisms, failure modes and stresses. Next, we willĭiscuss physics of failure methods, which are based on root-cause analysis Used for reliability prediction of electronic products. Standards, suchĪs MIL-HDBK-217 and Bellcore/Telcordia, are widely The experiences of engineers and on historical data. Will provide an overview of all three approaches.įirst, we will discuss empirical prediction methods, which are based on

(standards based), physics of failure and life testing. Among these approaches, three mainĬategories are often used within government and industry: empirical Prediction of electronic systems and components. Several different approaches have been developed to achieve the reliability Reliability of electronic products requires knowledge of the components, theĭesign, the manufacturing process and the expected operating conditions. To obtain more accurate reliability predictions. Once the prototype of a product is available, lab tests can be utilized
.jpg)
To the concept of reliability prediction. Should be integrated from the very beginning of the design phase. To obtain high product reliability, consideration of reliability issues Higher reliability than competitors is one of the key factors for success. In today's competitive electronic products market, having
#Telcordia sr 332 handbook free#
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.Software Used: Lambda Predict, Weibull++, ALTA SR-332 provides the only hardware reliability prediction procedure developed from the input and participation of a cross-section of major industrial companies. The Telcordia Reliability Prediction Procedure has a long and distinguished history of use within and outside the telecommunications industry. SR-332 provides all the tools needed for predicting device and unit hardware reliability. This prediction provides necessary input to system-level reliability modes for predicting expected downtime per year and system availability. Reliability prediction is an important element in the process of selecting equipment.
