CPC B64F 5/60 (2017.01) [B60W 50/0097 (2013.01); B64D 45/00 (2013.01); G05B 23/0283 (2013.01); G06N 7/01 (2023.01); G07C 5/006 (2013.01); B64D 2045/0085 (2013.01); G05B 23/024 (2013.01); G06F 17/18 (2013.01); G07C 5/0808 (2013.01)] | 20 Claims |
1. A method, comprising:
receiving, by one or more computing devices, engine data associated with an engine, the engine data including data points for operational parameters, each of the data points being defined in part by a value associated with one of the operational parameters;
determining, by the one or more computing devices, forecasted data points for each of the operational parameters, the forecasted data points for a given one of the operational parameters being determined by applying one or more regression techniques to the data points associated with the given one of the operational parameters, each of the forecasted data points being defined in part by a forecasted value associated with one of the operational parameters;
generating, by the one or more computing devices, a plurality of forecasts based at least in part on the forecasted data points, the plurality of forecasts each predicting a damage sum associated with the engine; and
outputting, by the one or more computing devices, a cumulative probability distribution indicating a cumulative probability of the plurality of forecasts exceeding a predetermined threshold prior to a next scheduled service visit for the engine.
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