State configuration controller for network centric organizational at-system level testing
Advanced diagnostic reasoners are being developed to make use of Bayesian fault probability distributions, experiential learning algorithms and actual net centric historical failure data to change dynamically or optimize the testing sequence. What is not covered is how also to reconfigure dynamicall...
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Format: | Tagungsbericht |
Sprache: | eng |
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Zusammenfassung: | Advanced diagnostic reasoners are being developed to make use of Bayesian fault probability distributions, experiential learning algorithms and actual net centric historical failure data to change dynamically or optimize the testing sequence. What is not covered is how also to reconfigure dynamically the system or unit under test and the test equipment from its present state to the state required for the desired test. This issue is especially acute in organizational level at-system testing where there can be a large number of possible states for the system under test and test hook ups when compared to Intermediate or Depot level Line Replaceable Unit (LRU) and/or board testing. This paper describe the work performed by the U.S. Army Automated Test Systems Division (ATSD) to design and implement a model based State Configuration Controller. How this solution can be used with any or even multiple reasoners, provided the proper interface is implemented, will also be discussed. |
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ISSN: | 1088-7725 1558-4550 |
DOI: | 10.1109/AUTEST.2010.5613589 |