AAP012: Weibull Distribution Applications

This tool manipulates the Weibull distribution function based upon parameters, random variables,or actual test data. Both suspended and test to failure test data can be employed. For test data the user can derive Weibull plots, parameters, and �selectable confidence levels. Test data can be inputted �to the tool manually or from an ASCII file.

AAP053: Reliability Growth Rate Analysis

This tool manipulates the Duane reliability growth model. Given the appropriate know values, the tool solves for the unknown.

AAP071: Warranty Planning

Using this tool, the user builds a model of a product field population based on reliability, operational environment, and economics. Once the model is constructed a Monte Carlo simulation can be performed to develop a grasp of how a field population may perform. Field performance and warranty cost confidence limits can be derived such that a user can establish control expectations. This tool allows the user to run multiple field scenarios early in the design cycle to assist in making trade-off decisions and defining strategies. It also provides an excellent benchmark for judging actual field performance.

AAP089: Arrhenius Equation/Acceleration Factors/Activation Energy

This tool employs the concept of Arrhenius Equation, acceleration factors and activation energy. Given known values the user can solve for the unknown quantity.

AAP140: Derating Guidelines

This tool provides the user with the capability to employ a set of derating guidelines. An extensive library of derating guidelines is included. The user can also build an entirely new set of �guidelines or edit any portion of an existing library.

AAP574: Life Test Planning/ Analysis: �Mil-Std-781

This tool employs Mil-Std-781 using risk, upper/lower MTBF, operating times, observed �failures, and test status to determine test status or MTBF.

AAP232: Static and Dynamic System Modeling Analysis

This tool provides the user with the capability to perform analysis of system modules arranged in series and or parallel. The system is graphically specified by the user in terms of module blocks, switches, and connections.

AAP292: Regression Analysis

This tool supports bivariate regression analysis with �associated statistics.

AAP370: Thermal Budget/Reliability Design Trade-Off

This tool provides a methodology for allocating a thermal �budget across electrical/ mechanical equipment.

AAP572: Reliability Performance �Prediction: Mil-Hdbk-217F2/Bellcore

This tool provides the user with the capability to perform �reliability predictions using part stress, parts count, Bellcore, and early life �failure modules. Capability is provided to incorporate field failure data and user defined failure models for electronic, electrical, mechanical, and software components. Bill-of-material and user defined failure data can be inputted manually or by ASCII file.

AAP606: Fault Tree Analysis

This tool provides the user with the capability to create and analyze a fault tree. The tool supports both qualitative and quantitative evaluation of the fault tree. The tool gives the user the ability to derive failure paths, minimum cut sets, and probability of occurrence. The user graphically constructs the fault tree using commonly accepted event and gate symbols.

AAP648: Failure Mode Effects Criticality Analysis

This tool provides the user with the capability to create various styles of system analysis for performing FEA, FMEA, FMECA, DEA, and ZEA. Mil-Std-1629A and Ford FEA documents serve as the foundation for the analysis.

AAP287: Burn-in Planning Analysis

This tool allows the user to determine the minimum burn-in required to achieve a specified early life performance level. This tool couples time to failure, probability �of �weak populations, and �performance �expectations with Markov Analysis to derive burn-in requirements.

AAP824: Software Test Planning Analysis

This tool allows the user to determine the minimum number of test cases required to achieve a specified field performance level. This tool couples random drawing of test �cases �from a test library, probability of �"bugs" �populations, and performance expectations with Markov Analysis to derive minimum test cases requirements.

AAP293: Medical Device Risk Analysis

This tool provides the user with the capability to create medical device risk analysis. FDA 820 documents serve as the foundation for the analysis. The tool provides an sequential multi-level approach to the development of the risk analysis.

AAP047: Threat/Risk Matrix

AAP047 is a high level tool designed to associate threats across the likelihood of occurring and the severity of impact. Its table format is easy to use and facilitates communication with non-technical personnel.

AAP050: Threat Assessment

This tool is based upon AAP648: FMECA/FMEA/FEA/ZA/DA. This tool allows the user to study the impact that a particular threat or event may have on the community of interest. Depending on the complexity of the analysis desired various levels of probabilities and analysis can be employed. The assessment technique can be described as a "bottoms-up" approach.

AAP475: Threat Tree Analysis

This tool is based upon AAP606: Fault Tree Analysis. With this tool the user conducts a "top-down" analysis of a terrorist event. This tool can be used proactively or reactively.

AAP175: Threat Avoidance

This tool is based upon AAP287: Burn-in Planning/Analysis. Using Markov Analysis techniques this tool allows the user to take actions guaranteed to reduce the likelihood of a terrorist event to a specific statistical level.

AAP072: Threat Profile Analysis

This tool is based upon AAP012: Weibull Distribution Applications. With this the user can establish patterns with the occurrence of threats or events. This tool allows for the statistical analysis of trends. The users collects the time of each threat and then enters it for analysis. As soon as three threats have been acquired analysis can begin. This tool allows the user to break threats into distinct families or sub-poputlations with unique parameters for further analysis

Please send comments or questions using e-mail, voice telephone at 919-846-7705. (Last update: March 21, 2015 maw)