The project OMAHA is promoted within the national funded aerospace research program V (Lufo V-1) with a time span from January 2014 to March 2017.
The objective of the project is an holistic approach for the condition monitoring of civil aircrafts. The overall architecture comprises the aircraft with all of its subsystems as well as the systems and processes of the ground segment. The monitoring aims at the optimization of operation and maintenance of commercial aircrafts. To conclude the project a demonstration and evaluation of maintenance costs / fleet utilization with ground test rigs is planned.
The following partners are involved in the joint research project:
In this project the department Safety Critical Systems & Systems Engineering will be dealing with the modelling of electro-mechanical actuators (EMA). This components represent an innovative alternative to the more conventional hydraulic solutions for flap adjustment systems. The operation in such a safety critical environment requires a high reliability for this kind of actuators. Degradation and aging due to varying mechanical loads and harsh conditions cannot be avoided. This potentially leads to critical faults or a limited functionality when the operation continues without maintenance. Therefor the actual health condition of the EMA has to be monitored.
The models to be developed, will be used by the partners AIRBUS Defence & Space and the Technical University of Darmstadt as a basis for the design of a condition monitoring system (CMS). Because of that the models do not only have to simulate the nominal function of an EMA but also the behavior in case a fault is present.
In order to achieve this, measurement data will be calculated by first principal based models describing the effects of system faults in divers sensors. This could be an auspicious approach for the model based condition monitoring.
In a second part of this project the DLR will be responsible to construct a test rig for an EMA. This test rig will provide the possibility to examine multiple components with seeded faults. With the outcome of the experiments, the models and the CMS will be validated and adapted to the existing system respectively.