scholarly journals Fault Detection and Isolation via the Interacting Multiple Model Approach Applied to Drive-By-Wire Vehicles

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2332 ◽  
Author(s):  
Vincent Judalet ◽  
Sébastien Glaser ◽  
Dominique Gruyer ◽  
Saïd Mammar
Keyword(s):  
Autonomous Vehicle ◽  
Fault Detection And Isolation ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Actuator Faults ◽  
Robust Identification ◽  
The Road ◽  
Driving Assistance ◽  
Experimental Vehicle ◽  
Model Approach

The place of driving assistance systems is currently increasing drastically for road vehicles. Paving the road to the fully autonomous vehicle, the drive-by-wire technology could improve the potential of the vehicle control. The implementation of these new embedded systems is still limited, mainly for reliability reasons, thus requiring the development of diagnostic mechanisms. In this paper, we investigate the detection and the identification of sensor and actuator faults for a drive-by-wire road vehicle. An Interacting Multiple Model approach is proposed, based on a non-linear vehicle dynamics observer. The adequacy of different probabilistic observers is discussed. The results, based on experimental vehicle signals, show a fast and robust identification of sensor faults while the actuator faults are more challenging.

Fault Diagnosis of Jet Engines by Using a Multiple Model-Based Approach

2010 ◽  
Author(s):  
N. Meskin ◽  
E. Naderi ◽  
K. Khorasani
Keyword(s):  
Linear Models ◽  
Operating Mode ◽  
Fault Detection And Isolation ◽  
Operating Point ◽  
Hierarchical Architecture ◽  
Multiple Model ◽  
Jet Engines ◽  
Maximum Probability ◽  
Jet Engine ◽  
Model Approach

In this paper, a novel real-time fault detection and isolation (FDI) scheme that is based on the concept of multiple model approach is proposed for jet engines. A modular and a hierarchical architecture is proposed which enables the detection and isolation of both single as well as permanent concurrent faults in the engine. The nonlinear dynamics of the jet engine is linearized in which compressors and turbines maps are used for performance calculations and a set of linear models corresponding to various operating modes of the engine (namely healthy and different fault modes) at each operating point is obtained. Using the multiple model approach the probabilities corresponding to each operating point of the engine are generated and the current operating mode of the system is detected based on evaluating the maximum probability criteria. It is shown that the proposed methodology is also robust to the failure of pressure and temperature sensors and extensive levels of noise outliers in the sensor measurements. Simulation results presented demonstrate the effectiveness of our proposed multiple model FDI algorithm for both structural faults and actuator fault in the jet engine.

scholarly journals Fault Detection in High Redundancy Actuation using an Interacting Multiple-Model Approach

2009 ◽  
Vol 42 (8) ◽  
pp. 1228-1233 ◽  
Author(s):  
J. Davies ◽  
H. Tsunashima ◽  
R.M. Goodall ◽  
R. Dixon ◽  
T. Steffen
Keyword(s):  
Fault Detection ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Model Approach
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