International audienceThe paper presents several examples on model and signal based fault detection in aircraft Electrical Flight Control System (EFCS). The examples are taken from past and on -going research projects and actions between Airbus Group and the University of Bordeaux (France). The techniques presented have been tested on highly representative aircraft benchmarks, real flight data, or through realtime implementation on Airbus test facilities and real A380 flight tests. The focus is on specific problems associated with each design when it comes to providing viable technological solutions and mechanization schemes. One of the proposed model-based solutions has received certification on new g...
University of Minnesota M.S. thesis. Major: Aerospace engineering and mechanics. Advisors: Gary J. B...
This report presents new design methodologies for robust fault detection and identification system d...
Current trend on fault-detection and-identification is to have a combination of algorithmic procedur...
This chapter presents a selection of fault diagnosis problems related to airborne Electro-Mechanical...
International audienceThis paper presents a parametric model-based monitoring technique for ...
International audienceThis paper is devoted to the detection of Oscillatory Failure Case (OFC) in th...
Safety in aircraft systems is a concern of rising importance, especially due to the sophisticated co...
A model-based fault detection and diagnosis (FDD) solution improves the capability in a civil aircra...
In this paper we apply model-based synthesis methodologies for the development of robust fault detec...
This paper presents a high-fidelity generic twin engine civil aircraft model developed by Airbus for...
Abstract: Air data probes provide essential sensing capabilities to aircraft. The loss or corruption...
This thesis presents a reformative approach to a model-based fault detection and diagnosis (FDD) met...
Safety in aircraft systems is a concern of rising importance, especially due to the sophisticated co...
In the study reported in this paper, we have developed and applied an Artificial Immune System (AIS)...
In the study reported in this paper, we have developed and applied an Artificial Immune System (AIS)...
University of Minnesota M.S. thesis. Major: Aerospace engineering and mechanics. Advisors: Gary J. B...
This report presents new design methodologies for robust fault detection and identification system d...
Current trend on fault-detection and-identification is to have a combination of algorithmic procedur...
This chapter presents a selection of fault diagnosis problems related to airborne Electro-Mechanical...
International audienceThis paper presents a parametric model-based monitoring technique for ...
International audienceThis paper is devoted to the detection of Oscillatory Failure Case (OFC) in th...
Safety in aircraft systems is a concern of rising importance, especially due to the sophisticated co...
A model-based fault detection and diagnosis (FDD) solution improves the capability in a civil aircra...
In this paper we apply model-based synthesis methodologies for the development of robust fault detec...
This paper presents a high-fidelity generic twin engine civil aircraft model developed by Airbus for...
Abstract: Air data probes provide essential sensing capabilities to aircraft. The loss or corruption...
This thesis presents a reformative approach to a model-based fault detection and diagnosis (FDD) met...
Safety in aircraft systems is a concern of rising importance, especially due to the sophisticated co...
In the study reported in this paper, we have developed and applied an Artificial Immune System (AIS)...
In the study reported in this paper, we have developed and applied an Artificial Immune System (AIS)...
University of Minnesota M.S. thesis. Major: Aerospace engineering and mechanics. Advisors: Gary J. B...
This report presents new design methodologies for robust fault detection and identification system d...
Current trend on fault-detection and-identification is to have a combination of algorithmic procedur...