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Aircraft Fault Detection Using Random Forest by sangr3708 is a document available to read on EtoBox.

This research article presents a fault detection algorithm for aircraft systems utilizing a Random Forest Algorithm (RFA) and a similarity measure. The algorithm was tested on an unmanned aerial vehicle (UAV) to differentiate between healthy and faulty states using twelve coefficients derived from operational data. Results indicate that the RFA effectively prioritizes data features, enhancing the accuracy of fault detection under various conditions.

Author

sangr3708

Language

EN