Adjusting maintenance intervals for individual platforms based on observable conditions

A computer-implemented method of improving accuracy of maintenance scheduling, the method comprising:

• retrieving scheduled maintenance data and unscheduled in-service maintenance data for a maintenance task to be performed for a plurality of platforms;
• analyzing a distribution of lifetimes for the maintenance task in the scheduled maintenance data and the unscheduled in-service maintenance data for high variance or multiple modes;
• identifying, in response to identifying at least one of the high variance or the multiple modes in the distribution of the lifetimes, a number of conditions in sensor data of the plurality of platforms correlated to a length of the lifetimes for the maintenance task;
• dividing the lifetimes into a plurality of groups based on the number of conditions;
• determining a respective recommended maintenance interval for each group of the plurality of groups based on respective lifetimes for the maintenance task of a respective group;
• and
• performing the maintenance task on the platform at or before the respective recommended maintenance interval for each group of the plurality of groups comprising scheduling the maintenance task, wherein the maintenance task comprises at least one of inspecting, maintaining, repairing and/or replacing a component or subcomponent on the platform.

An apparatus comprising:

• a bus system;
• a communications system coupled to the bus system;
• and
• a processor unit coupled to the bus system, wherein the processor unit executes computer-usable program code to retrieve scheduled maintenance data and unscheduled in-service maintenance data for a maintenance task to be performed for a plurality of platforms;
• analyze a distribution of lifetimes for the maintenance task in the scheduled maintenance data and the unscheduled in-service maintenance data for high variance or multiple modes;
• identify, in response to identifying at least one of high variance or multiple modes in the distribution of lifetimes, a number of conditions in sensor data of the plurality of platforms correlated to a length of the lifetimes for the maintenance task;
• divide the lifetimes into a plurality of groups based on the number of conditions;
• determine a respective recommended maintenance interval for each group of the plurality of groups by performing a customized maintenance program analysis on each of the plurality of groups;
• and
• perform the maintenance task on the platform at or before the respective recommended maintenance interval for each group of the plurality of groups comprising scheduling the maintenance task, wherein the maintenance task comprises at least one of inspecting, maintaining, repairing and/or replacing a component or subcomponent on the platform.

A computer-implemented method comprising:

• determining if sensor data of a platform indicates a condition affecting a frequency of a maintenance task to be performed on the platform;
• changing a maintenance interval for performing the maintenance task for the platform to an updated value if a condition affecting the frequency of the maintenance task is indicated in the sensor data;
• performing the maintenance task on the platform at or before the maintenance interval having the updated value comprising scheduling the maintenance task, wherein the maintenance task comprises at least one of inspecting, maintaining, repairing and/or replacing a component or subcomponent on the platform;
• and
• determining if the sensor data meets a time point, wherein determining if sensor data of the platform indicates the condition affecting the frequency of the maintenance task is performed in response to determining the sensor data does meet the time point, wherein the time point is one of a quantity of usage cycles, an amount of usage time, or a quantity of calendar days.