Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.

Abstract: One variation of a method includes: training a first model to predict failures within the first population of satellites within a first time window based on a first set of historical timeseries telemetry data and a first set of historical timeseries failure data; and training a second model to predict failures within the first population of satellites within a second time window, shorter than the first time window, based on the first set of historical timeseries telemetry data and the first set of historical timeseries failure data. The method further includes: predicting a first probability of failure of the first satellite within the first time window based on the first model and the first set of timeseries telemetry data; and predicting a second probability of failure of the first satellite within the second time window based on the second model and the first set of timeseries telemetry data.