Failure Prediction of Aircraft Equipment Using Machine Learning with a Hybrid Data Preparation Method

Table 1

The nine input variables and an output variable obtained from the maintenance data.

Parameter	Description
Flight hours (FH)	The total duration of flight for an equipment on different aircraft in a selected time period
RM	The number of removals of the equipment in the last 24 months
PR	The number of planned removals of the equipment in the last 24 months
UR	The number of unplanned removals of the equipment in the last 24 months
OR	The number of other removals of the equipment in the last 24 months
FR	The number of faults with removals of the equipment in the last 24 months
FPR	The number of faults with planned removals of the equipment in the last 24 months
FUR	The number of faults with unplanned removals of the equipment in the last 24 months
SR	The number of safe removals of the equipment in the last 24 months
NF (output)	The number of equipment failures in the last 24 months