FOR RELIABILITY ENGINEERING. By Reid Willis. Washington Chapter, Society of Reliability Engineers. April 1, 2006. This report is a survey of reliability support. This article illustrates how reliability prediction methods for electronic products can improve the competitiveness of a product. The MIL-217, Bellcore/Telcordia and. Searching for an electronic component? Simultaneously query distributors, and returns the responses in real time. Bellcore (Telcordia) Standard The Bellcore standard predicts the reliability of electronic equipment based on the Bellcore (Telcordia) standards TR-332 Issue 6 and SR. Applicability and Usage to Augment. The Standards for Reliability Prediction. Note: This is the second part of a. Relia. Soft's newly introduced Lambda Predict software package. This part discusses the. Part III will give an. Lambda Predict can. Reliability Block Diagram (RBD) when data is not. Reliability prediction plays a major role. Standards based. reliability prediction relies on defining failure rates for the components. These component failure rates are then. Over the past few decades, several. The standards. define models for different component types based on test data. The models. assume a constant failure rate (i. The following is an overview of the. Lambda Predict as. Note that Lambda Predict provides redundancy calculation. MIL- 2. 17 Standard. The MIL- 2. 17 standard is a reliability prediction program based on the. MIL- HDBK- 2. 17 (published by the US Department of. Defense). This standard uses a series of models for various categories of. These models are fully detailed. MIL- HDBK- 2. 17. This standard supports two methods of. MIL- HDBK- 2. 17. F: Parts Count and Part. Stress Analysis. Parts Count Method. Parts Count generally requires information such as part quantities, quality. Because it requires less information. Part Stress Analysis, it is most applicable early in the design phase. Parts Count prediction defines the overall. If the equipment consists of parts. The Part Stress Analysis method will. Parts Count method would produce. For this type of analysis, the models are. For example, the model for. Bellcore (Telcordia) Standard. The Bellcore standard predicts the reliability of electronic equipment based. Bellcore (Telcordia) standards TR- 3. Issue 6 and SR- 3. Issue 1. (published by AT& T Bell Labs). This type of prediction has only one focus. It can provide predictions at the component level. COTS (Commercial Off- The- Shelf) parts. Due to the wide range of failure rates that. NSWC Mechanical Prediction. It also accounts for. The categories of mechanical equipment. Electric Motors Compressors Actuators Gears and Splines Pumps Slider- Crank Mechanisms Mechanical Couplings Brakes and Clutches Threaded Fasteners Springs Valve Assemblies Seals and Gaskets Solenoids Bearings Filters. RDF 2. 00. 0 Standard. The IEC 6. 23. 80 TR Edition 1 (formerly known as UTE C 8. It is based on the. French Telecommunications standard RDF 2. The IEC 6. 23. 80 TR Edition 1 reliability. Calculation models take into account. The thermal cycling seen by cards. These models can handle. Failures related. The IEC 6. 23. 80 (RDF 2. Prediction Module. Failure Rate calculation at. Unavailability calculation at system level Repairable system calculation Component and Block Pi Factors China 2. B Standard. The China 2. B standard is a reliability prediction program based on the. Chinese Military Standard GJB/z 2. B 2. 99. B. This. The 2. 99. B standard contains two methods of. Parts Count Analysis and Part Stress Analysis. The 2. 99. B Prediction Module provides: Failure Rate calculation at. Unavailability calculation at system level Repairable system calculation Part Stress and Parts Count analysis Component and Block Pi Factors.
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