A New Challenge in Predictive Maintenance Analysis for Aircraft



Published Sep 4, 2023
Takashi Takemura


JAL Engineering Co., Ltd. (JALEC) has been challenging to develop the predictive maintenance by big data analysis using the flight sensor data and the maintenance data as one of our initiatives to improve our aircraft reliability. Our analysis method is to verify hypotheses based on mechanics and engineer expertise with the data. Furthermore, in order to enhance our predictive maintenance, we introduced a new analysis method to search for hypotheses based on the information obtained from the data with AI technology. This article describes how JALEC has succeeded in developing a new analysis method with AI technology in the predictive maintenance and what we want to realize in the near future as a total engineering company.  

Abstract 752 | PDF Downloads 377



Aircraft predictive maintenance, Hypothesis-driven Analysis, Data-driven Analysis

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