Adjusting maintenance intervals for individual platforms based on observable conditions
Abstract:
A maintenance interval adjuster and methods for improving accuracy of maintenance scheduling and changing a maintenance interval are presented. Scheduled maintenance data and unscheduled in-service maintenance data for a maintenance task are retrieved for a plurality of platforms. A distribution of lifetimes for the maintenance task in the scheduled maintenance data and unscheduled in-service maintenance data are analyzed for high variance or multiple modes. A number of conditions in sensor data of the plurality of platforms correlated to a length of the lifetimes for the maintenance task is identified, in response to identifying at least one of high variance or multiple modes in the distribution of lifetimes. The lifetimes are divided into a plurality of groups based on the number of conditions. A respective recommended maintenance interval is determined for each group of the plurality of groups based on respective lifetimes for the maintenance task of a respective group.
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