report on the use of artificial neural networks to capture and retain complex underlying relationships and nonlinearities that exist between an aircraft's maintenance
data and safety inspection reporting profiles.
Neural networks will be used to implement condition-based maintenance because real-time sensor data can be trended to predict out-of-tolerance conditions for critical equipment parameters.
Maintenance actions can then be initiated for an adaptive response to these anticipated system perturbations.