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Advances in Transdisciplinary Engineering
Unplanned maintenance is a costly factor in aircraft operations. Predictive maintenance models aim to provide greater insight into future component and system behaviour. In the state of the art, a variety of statistical models and machine learning techniques, amongst others, are used to estimate component remaining useful life. These approaches commonly leverage technical information, such as sensor data. However, the use of data and techniques from other domains is not prevalent. One suchdoi:10.3233/atde200116 fatcat:o6htwitq6jetliz2hcadwolrja