Big data is key to predictive maintenance and lower costs for industrial repairs especially in the automotive and aviation industries. More than half of an airline’s total operating costs are directly or indirectly related to maintenance, repair and overhaul (MRO) services. Promoting the intelligent use of big data is a top priority for many airlines including Lufthansa.
Combined apps on a platform
Lufthansa Technik and its partners are now striving to achieve this goal using the AVIATAR open platform. Innovative and holistic, AVIATAR offers a variety of digital products and services for MRO by combining multiple apps, web-based in one place. The more users of the platform the better as everyone benefits from optimized operating times, reduced follow-up costs and safer and more reliable fleet operation.
Coupling virtual and real world
One of the new apps is named “Engine Health Management”. This diagnostic tool for maintenance of aircraft engines is based on a digital twin that digitally represents the real object. Digital twins use real data to play through a variety of scenarios and gain valuable insights. Through this coupling of virtual and real worlds, problems can be understood and dealt with before they occur and solutions can be tested for their effectiveness in simulations. Companies such as Philips, Siemens or Porsche already rely on digital twins.
Engine Health Management app
The digital twin of a physical engine has such a high level of detail that the influence of a single component on the entire engine can be determined. This allows engineers e.g. to determine the cause of a specific engine deviation. Optimally adapted warnings also ensure that unusual wear or unforeseen damage developments are detected early. In this way, the Engine Health Management app ensures that material costs, overall costs and performance are in proportion to each other.