Diagnostician Implementation on

Air Force Depot Systems / TPS at SA-ALC

            San Antonio Air Logistics Center contracted Giordano Automation to implement the Diagnostician diagnostic reasoning module in support of the depot maintenance operations.  The Diagnostician was implemented on depot repairables in support of the F-15 and the F-16 engine. This project also involved development of in-circuit test programs on commercial test systems in the depot.

            A primary objective of this program was to define and demonstrate the feasibility of a re-engineered TPS development process predicated upon advanced Model-Based reasoning technology. The resulting TPS development methodology rethinks and re-engineers the traditional test/diagnostics development process.  The result was increased test program diagnostic (i.e., fault isolation) quality and speed of development, while reducing cost, run-time, and on-station fault isolation verification time. This software demonstration focused on the ability to effectively and efficiently produce a UUT's diagnostic model, simulate faults and verify/validate diagnostic logic during the TPS design phase, and subsequent use of the model for run-time diagnostic capability. The approach also enables moving the verification of diagnostic logic function into the "front-end" as opposed to the "back-end" of the TPS development process, and nearly eliminates the need to perform physical fault insertion to verify test program diagnostics.  We demonstrated the feasibility of a new paradigm which separates the diagnostics, and hence fault insertion/diagnostic verification function, from the test function.  In our implementation, diagnostic information was captured directly from schematics using our Concurrent Engineering Tool Set (CETS).  This design related information was then translated to a Diagnostic Knowledge Base (DKB).  This DKB was then manipulated on a PC-based diagnostic development workstation to determine "what if" diagnostic alternatives (i.e. diagnostic resolution implications of adding or removing a test point from a particular test solution).  The DKB was also used to verify diagnostic capability via simulation of user-defined fault events.

 

 

 

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Last modified: June 30, 2000