Method and system for diagnosing faults in a particular...

Data processing: vehicles – navigation – and relative location – Vehicle control – guidance – operation – or indication – Vehicle diagnosis or maintenance indication

Reexamination Certificate

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C701S034000, C701S035000, C702S182000, C702S185000

Reexamination Certificate

active

07826943

ABSTRACT:
A method for diagnosing faults in a particular device within a fleet of devices is provided. The method comprises receiving performance data related to one or more parameters associated with a fleet of devices and processing the performance data to detect one or more trend shifts in the one or more parameters. The method then comprises detrending the one or more parameters to derive noise-adjusted performance data related to a particular parameter associated with a particular device. The method further comprises generating a fleet-based diagnostic model based on trend patterns and data characteristics associated with the fleet of devices. The fleet-based diagnostic model comprises one or more fuzzy rules defining one or more expected trend shift data ranges for the one or more parameters associated with the fleet of devices. The method then comprises computing one or more scaling factors for the particular parameter associated with the particular device and scaling the one or more of fuzzy rules defined for the one or more parameters in the fleet-based diagnostic model, based on the one or more scaling factors, to generate a personalized diagnostic model for the particular parameter associated with the particular device. The method finally comprises evaluating the personalized diagnostic model against the one or more trend shifts detected for the one or more parameters, to diagnose a fault associated with the particular device.

REFERENCES:
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patent: 7441448 (2008-10-01), Volponi
patent: 7457732 (2008-11-01), Aragones et al.
patent: 2004/0088100 (2004-05-01), Volponi
L. Yu et al., “A Novel Approach to Aircraft Engine Anomaly Detection and Disgnostics,” In Proceedings of the IEEE Aerospace Conference, P.E.2004, pp. 3468-3475, Big Sky, Montana.
L. Yu et al., “Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis,” Proceedings of the 19th FLAIRS,2006, American Association for Artificial Intelligence, Melbourne, Florida, pp. 1-6.

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