- Condition Analytics combines condition monitoring and predictive
maintenance on a single platform

Lufthansa Technik AG today announced the launch of Condition
Analytics. The new and highly intelligent platform allows airlines to
predict precisely when components should be replaced and recommends
measures to be taken to avoid failures before they actually happen.
Among other advantages, operators benefit from reduced fuel
consumption, optimized use of expendable parts and enhanced safety.

“Airlines around the globe are seeking ways to maximize the
reliability, availability and safety of their fleets while reducing
costs. Our engineering expertise and long-standing experience with
many different aircraft types gives us an edge in this respect,” said
Dr. Holger Appel, Program Manager Monitoring, Diagnosis and Prognosis
at Lufthansa Technik. “With Condition Analytics, one platform
combines MRO experience with condition monitoring and prognoses for
the first time. It creates true predictive maintenance for Airbus,
Boeing or other aircraft.”

Jan Stoevesand, Head of Analytics & Data Intelligence in Information
Management at Lufthansa Technik, underlined: “We provide customers
with precise knowledge of their fleet condition and enable them to
counter failures before they occur. Thus we not only increase
aircraft availability and maximize operating hours, we also
substantially contribute to flight safety.”

Condition Analytics by Lufthansa Technik uses a multi-faceted
approach to improve aircraft operations. Engineers and data
scientists analyze flight and MRO data and use them as a basis for
continuously developing analytics use cases. Once the analytical
model has been developed, the system checks the customer data for
relevant incidents and supplies the corresponding results to the
customer automatically.

Condition Analytics is an independent platform that is not tied to a
support contract with Lufthansa Technik. It is an OEM-spanning tool
whose highly sensitive data is safeguarded by Germany’s rigorous data
protection laws. The customer selects the required fleet and the
desired use cases and is given access to the online platform.

The use of Condition Analytics in actual flight operations has
already produced beneficial results. For example, it is now possible
to predict the life cycle of igniter plugs accurately. This ensures
maximum performance and efficiency. The platform will be available to
customers from the first quarter of 2017.