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Why Diag-ML?
The Diag-ML Format was conceptualized mid 2001 by a
consortium of public and private companies interested in producing a
non-proprietary language for describing diagnostic procedures,
designs, tests, and data.
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Key
Benefits:
Applications
for Diag-ML include:
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Transfer
of Knowledge to Run-Time Systems
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Diagnostic
and Prognostic Knowledge Capture
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System-
and Subsystem-Level Diagnostics and Prognostics
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Third-Party
Diagnostic and Testability Assessment
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Static,
Dynamic and Rule-Based Diagnostics / Prognostics
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Diagnostic
Flowcharts and Fault Trees
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Export
to Maintenance-based Simulations
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Remote
Diagnostic / Prognostic Engines
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Schema Reference |
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SchemaML
Downloadable Files: |
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This Login area is reserved for future application
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