Analytics Services

While most issues that occur on the aircraft are quickly addressed in maintenance with troubleshooting, there are repetitive issues (repeaters) that go unaddressed and 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. Ascentia’s new Repeaters application uses a natural language processing (NLP) approach to understand both freehand text and logged discrepancies, enabling it to cluster issues accordingly—and proactively manage repeaters. This mitigates soft errors in fault codes and ATA codes, optimizing the maintenance and repairs process when the aircraft is on the ground.  

The Repeaters application puts 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. Soon, Repeaters will also provide information that helps mechanics identify and fix problems that continually require system resets but don’t get fully addressed while aircraft are in service.

Airlines use AHM to give them a picture of what the aircraft is telling them through data, and on AOG to tell them the aircraft’s availability, but currently that critical information is coming from different sources, creating inefficiencies in maintenance operations. Ascentia combines AHM and AOG into one tool, enabling airlines to track the status of the steps involved in returning an aircraft to service. By using big data technologies and analyzing historical maintenance and operational data, airlines can more accurately predict each step of the return-to-service process. This enables them to make informed strategic maintenance decisions, minimize downtime, and enhance operational efficiency.

AOG Manager will also integrate other popular Collins tools and capabilities, including the FlightAware flight tracking and data platform, and ARINC Hermes™ messaging management software, helping airlines to even more efficiently coordinate maintenance and keep their operations flowing.

Ascentia is designed   to empower customers to create their own specialized analytics that unlock the full potential of data-driven maintenance processes within unique operational environments. Built on a low-code/no-code foundation, Ascentia’s PHM application enables users to work from a suite of predictive maintenance tools to customize and fully develop their own analytics to provide precise, reliable analytics and recommendations for decision-making.

Our PHM tool features an analytic developer studio that uses a big data approach to find patterns and identify events of interest that airlines can then use to perform proactive maintenance. For example, the analytic developer studio may identify a statistical derived parameter that correlates to a failed fuel probe removal on a single aircraft. An airline can then create their own custom alerts to replace them on other aircraft during already scheduled maintenance, and measure that alerts effectiveness across the fleet.

PHM can also be a big difference maker in optimizing the time to   troubleshoot– rather than trying to recreate issues on the ground, airlines are  able to rely on the full flight and sensor data, integrated maintenance logs and flight visualization tools available on Ascentia to make much quicker adjustments.

FlightSense® managed services

Depending on the level of support needed and risk airlines want to hand off, Ascentia customers can also take advantage of full life-cycle managed services powered by PHM data analytics and intelligence. Backed by a team of experts around the world available 24/7, FlightSense flexes to fit your needs, complementing your own maintenance and repair teams or taking on full inventories to maximize value. Flightsense with Ascentia provides a data driven approach to avoid AOG situations through analytics while leveraging operators' data to provide more comprehensive reliability fixes to Collins components.