Leveraging LRU TPS diagnostic data for use in SRU TPS development

Abstract

This paper explores how a model-based diagnostic reasoning tool and run time engine can be used during line replaceable unit (LRU) test program set (TPS) development to diagnose to the sub-shop replaceable unit (SRU) level and how the LRU diagnostic session file can be leveraged during SRU TPS development. This multi-tiered diagnostics approach is enabled by the Diagnostic Profiler tool, used to engineer and generate a diagnostic knowledge base (DKB), and the Diagnostician reasoner, which embodies the DKB. Although the application focus is on the ATLAS integrated family of test equipment, this approach has general applicability to other automatic test equipment and source languages.