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Advanced Computational Intelligence for Helicopter Diagnostics and Prognostics

This project, led by David He and Pat Banerjee, focuses on developing innovative computational intelligence for the diagnostics and prognostics of complex systems, particularly helicopters. Funded by BF Goodrich, the research aims to accurately diagnose failure conditions and predict the remaining useful life of helicopter systems using data from Goodrich’s IMD-HUMS units. A key aspect is integrating probabilistic approaches with wavelet analysis to create advanced diagnostic algorithms. These algorithms will address various failure modes, such as those in the UH-60 helicopter, enhancing military and commercial applications.

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Advanced Computational Intelligence for Helicopter Diagnostics and Prognostics

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  1. Computational Intelligence for Diagnostics and Prognostics Investigators: David He and Pat Banerjee, MIE Department Prime 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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