While most issues that occur on an aircraft are quickly addressed via maintenance troubleshooting, there are repetitive issues (what we call 'repeaters') that, if left unaddressed, can cause a lot of headaches for airlines. These repeaters are traditionally identified through Air Transport Association (ATA) coding-based programs that may be prone to error. The Ascentia® Repeaters identification application takes a different approach by using natural language processing (NLP) to analyze freehand text of logbook discrepancies, enabling it to cluster issues accordingly and proactively manage repeaters. This mitigates data entry errors in ATA coding and enables optimizing the maintenance and repair process when the aircraft is on the ground.
The Repeaters application will put critical information right at the user’s fingertips, combining historical final fixes and fault codes with repeater information, traditionally a tedious process for maintenance personnel. The Repeaters application will also provide information that automatically identifies when a system reset was last performed on a repeater. By identifying these reset scenarios where there is a high probability of reoccurrence, the airline can proactively address the fault before it reoccurs. | 
