Approaches for Using Machine Learning Algorithms with Large Label Sets for Rotorcraft Maintenance

• Published in: 2019 IEEE Aerospace Conference pp. 1 - 8
• Main Authors: Seale, Maria, Hines, Amanda, Nabholz, Grace, Ruvinsky, Alicia, Eslinger, Owen, Rigoni, Nathan, Vega-Maisonet, Luis
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2019
• Subjects: Aircraft; Classification algorithms; Machine learning; Machine learning algorithms; Maintenance engineering; Prediction algorithms; Reliability

The US Army Aviation and Missile Research, Development, and Engineering Center (AMRDEC), in collaboration with the US Army Engineer Research and Development Center (ERDC), is using machine learning (ML) to transform the way rotorcraft maintenance logbook event data is scored for reporting purposes....