Civil aviation engineering, a complex and evolving field, places paramount importance on maintenance to ensure aircraft operate flawlessly. The need for over-repair and timely maintenance of the air turbine starter (ATS) was addressed by integrating prognostics and health management (PHM) into the life cycle management of the air turbine starter. This key integration introduces a predictive maintenance mode, firmly based on the principles of aircraft health management (AHM). An exhaustive examination of the starter’s detailed maintenance requirements has facilitated a strategic shift, transforming numerous traditional maintenance activities into innovative AHM hybrid maintenance tasks. The establishment of condition-based maintenance, realized through advanced condition monitoring and early warning systems, represents a major advancement in maintenance methodologies. This innovative predictive maintenance mode triggers a reform in the maintenance type, process, and interval of air turbine starter, leading to significant labor reduction and optimizing tasks generation. The effectiveness and transformative impact of this mode are thoroughly assessed using aircraft on ground (AOG) time indicators. The results indicate that the predictive maintenance model leads to a decrease in AOG time by 50%, 10%, and 10% for three distinct maintenance tasks, whereas multiple maintenance triggers result in reductions of 16.7%, 55%, and 54.5%.