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Re-Engineering Legacy Technical Manuals with Smart Diagnostics This program was directed at research and development on the requirements to support dynamic model-based diagnostic reasoning within Interactive Electronic Technical Manuals (IETMs) for legacy systems. Under this contract, Giordano Automation investigated and developed the methodology to convert legacy troubleshooting data from existing, paper-based technical manuals into model-based smart, diagnostics-driven IETMs. A model was produced and successfully tested. The knowledge gained and applied will greatly reduce Army maintenance costs. Also, test concepts were expanded to include Intelligent Adaptive Training for the soldier; which was demonstrated to soldiers in the field with high acceptance. This approach will be used in future programs. These capabilities are now being made available as a part of Giordano Automation’s commercial off–the-shelf diagnostic tools, Diagnostic Profiler and Diagnostician. As the Army accelerates its movement from paper-based technical manuals to computer-based interactive electronic technical manuals, the opportunity exists to dramatically improve the support posture of Army weapons systems. This improvement comes from more efficient and accurate field troubleshooting capability. The problems associated with inefficient diagnostics in the field have been well documented in the past, and include high No Evidence of Failure (NEOF) rates and increased requirements for spares, and increased maintenance workload. As the Army transitions existing, legacy systems into IETMs, the major opportunity that exists to improve the support posture of the subject system will be lost unless straightforward methods exist to efficiently re-engineer legacy data into more efficient diagnostics capability 
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