The research paper Maintenance Automation Using Deep Learning Methods: A Case Study from the Aerospace Industry has been cited in the following patent:
The invention relates to a method (10) for maintaining aeronautical equipment that establishes an acceptance threshold (Si) which determines, for each label (LABx), i.e., useful information to be predicted, whether or not it should be predicted. Thus, the method according to the invention does not simply predict, as is generally the case in known models, the label with the highest score, but predicts all the labels (LABx) that have a score greater than or equal to the acceptance threshold. Therefore, the operator is able to diagnose whether a failure has occurred on the aeronautical equipment since, in this case, the number of predicted label(s) is non-zero. Once a failure is observed, the operator is also able to determine what action must be taken on the equipment. Thus, the method according to the invention improves the operational availability of equipment while reducing maintenance costs.
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