Titlebook: Research Perspectives and Case Studies in System Test and Diagnosis; John W. Sheppard,William R. Simpson Book 1998 Springer Science+Busine

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阴谋

Deriving a Diagnostic Inference Model from a Test Strategy,tics for its potential for life cycle cost savings and performance improvements. While the potential of model based diagnostics was targeted for use on new weapon systems, its potential for use on existing systems should not be overlooked. One issue with considering model based diagnostics for these

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Inducing Diagnostic Inference Models from Case Data,stic cases. The performance of case-based reasoners is dependent upon the size of the case base such that as case bases increase in size, it is usually reasonable to expect accuracy to improve but computational performance to degrade. Given one of these large case bases, it is advantageous to attemp

UNT

Accurate Diagnosis through Conflict Management,systems. Errors in the test process become more likely with increased complexity and need to be treated carefully to maximize accuracy in diagnosis. In this chapter, we discuss several approaches to analyzing conflicting test results. We have concentrated on one approach based on model-based diagnos

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System Level Test Process Characterization and Improvement, can be problematic when attempting to justify the required investment. This can be overcome if a phased implementation is adopted where each interim level of investment delivers less substantial but more immediate gains. This chapter demonstrates that techniques previously used to investigate cost-

FAWN

A Standard for Test and Diagnosis,n update on the status of all of the AI-ESTATE standards and their potential use to support diagnostic tools and applications. It includes a description of IEEE AI-ESTATE standard for exchanging diagnostic information and embedding diagnostic reasoners in any test environment. Also described are the

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DEBT

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