11 - Operations and Sustainment
APPLICATION OF NATURAL LANGUAGE PROCESSING FOR AIRCRAFT DEFECT TRACKING IN MAINTENANCE OPERATIONS
M.J. Scott¹, O. Kirkpatrick¹, W. Verhagen¹, V. Kekoc, Defence Science and Technology Group, Australia; B. Teunisse, Capability Acquisition and Sustainment Group, Australia; J. Zhang¹, H. Fayek¹, P. Marzocca¹; ¹RMIT University, Australia
Current maintenance reports necessitate manual scrutiny to identify recurring defects across an aircraft fleet. Natural Language Processing (NLP) methods present an automated means to harness the potential of under-utilised maintenance reports. This paper applies NLP to two-year's worth of maintenance reports, and through in-depth analysis, unveils lead indicators for defects.