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This paper describes a system that can diagnose a range of critical and degraded faults on a representative aircraft electrical power system. The proposed system shows potential for improving the health management and fault tolerance of these safety critical systems.

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This page is a summary of: Fault classification and diagnostic system for unmanned aerial vehicle electrical networks based on hidden Markov models, IET Electrical Systems in Transportation, September 2015, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-est.2014.0042.
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