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Computational Intelligence for Diagnostics and Prognostics

Computational Intelligence for Diagnostics and Prognostics. David He and Pat Banerjee, MIE Primary Grant Support: BF Goodrich (USA). Sensor Signals. *Time domain * Frequency domain * Flight profiles.

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Computational Intelligence for Diagnostics and Prognostics

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  1. Computational Intelligence for Diagnostics and Prognostics David He and Pat Banerjee, MIE Primary Grant Support: BF Goodrich (USA) Sensor Signals *Time domain *Frequency domain * Flight profiles • Develop innovative computational intelligence for diagnostic and prognostic applications of complex systems such as helicopters. • The computational intelligence developed can be used to accurately diagnose the failure conditions of the complex systems and predict the remaining useful life or operation of the systems. • The developed diagnostic and prognostic computational intelligence will be tested and validated with the data collected by Goodrich’s IMD- HUMS units that are currently used in US Army’s helicopters. Optimal DataExtraction Integrated Computational Intelligence Diagnostic + Prognostic Models • Innovative probabilistic approaches will be integrated with wavelet analysis to develop integrated diagnostic and prognostic computational intelligence. • Different failure modes of left generator shafts in UH-60 will be identified and failure conditions will be used to predict the remaining useful life of the system. • Diagnostic and prognostic algorithms are currently being developed and tested for different helicopters. • The developed algorithms will be eventually integrated into the Goodrich’s IMD-HUMs for different military and commercial applications.

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