Predictive Maintenance for General Aviation Using Convolutional Transformers. (arXiv:2110.03757v3 [cs.LG] UPDATED)

Predictive maintenance systems have the potential to significantly reduce
costs for maintaining aircraft fleets as well as provide improved safety by
detecting maintenance issues before they come severe. However, the development
of such systems has been limited due to a lack of publicly labeled multivariate
time series (MTS) sensor data. MTS classification has advanced greatly over the
past decade, but there is a lack of sufficiently challenging benchmarks for new
methods. This work introduces the NGAFID Maintenance Classification (NGAFID-MC)
dataset …

arxiv aviation predictive predictive maintenance transformers