CRF has created a new algorithm to build automatically diagnostic strategies, starting from the design schema of the system and from functional and failure modes of its components.
Targets
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Precise fault identification
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Symptom based diagnosis
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Support manual or automatic measures
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Integration with diagnostic measurement tools and sensors
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Management of inconsistent data
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Flexible and dynamic diagnosis tree generation
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Provisioning of detailed explanations
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Backtracking capabilities
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Statistics on diagnostic paths
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Automatic generation of diagnostic reasoning from topological schemas
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Fast update of diagnostic knowledge