Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations

This work proposes a fault detection architecture for vehicle embedded sensors, allowing to deal with both system nonlinearity and environmental disturbances and degradations. The proposed method uses analytical redundancy and a nonlinear transformation to generate the residual value allowing the fault detection. A strategy dedicated to the optimization of the detection parameters choice is also developed.

[1]  Rolf Isermann,et al.  Fault-diagnosis systems : an introduction from fault detection to fault tolerance , 2006 .

[2]  Wei Huang,et al.  Design of a Fault Detection and Isolation System for Intelligent Vehicle Navigation System , 2015 .

[3]  Anibal Ollero,et al.  Detection of Sensor Faults in Small Helicopter UAVs Using Observer/Kalman Filter Identification , 2011 .

[4]  Lexin Li,et al.  Evaluation of distribution fault diagnosis algorithms using ROC curves , 2010, IEEE PES General Meeting.

[5]  Aníbal Ollero,et al.  Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors , 2009, Sensors.

[6]  Guo-Ping Liu,et al.  Robust fault detection of dynamic systems via genetic algorithms , 1995 .

[7]  Jianda Han,et al.  A literature review on Fault Diagnosis methods for manned and unmanned helicopters , 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

[8]  Lei Chen,et al.  An Analytical Redundancy-Based Fault Detection and Isolation Algorithm for a Road-Wheel Control Subsystem in a Steer-By-Wire System , 2007, IEEE Transactions on Vehicular Technology.

[9]  Saïd Mammar,et al.  IMM-based sensor fault detection and identification for a drive-by-wire vehicle , 2015 .

[10]  Paul M. Frank,et al.  Model-Based Fault Diagnosis , 1992, Concise Encyclopedia of Modelling & Simulation.

[11]  Kyoung-Ho Choi,et al.  Ground vehicle navigation in harsh urban conditions by integrating inertial navigation system, global positioning system, odometer and vision data , 2011 .

[12]  Mehrdad Saif,et al.  A new approach to robust fault detection and identification , 1993 .

[13]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.

[14]  Jie Chen,et al.  Modelling methods for improving robustness in fault diagnosis of jet engine system , 1992, [1992] Proceedings of the 31st IEEE Conference on Decision and Control.

[15]  Jie Chen,et al.  Robust fault diagnosis of stochastic systems with unknown disturbances , 1994 .

[16]  Mourad Barkat,et al.  Signal detection and estimation , 1991 .

[17]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems: theory and application , 1989 .

[18]  Silvio Simani,et al.  Model-based fault diagnosis in dynamic systems using identification techniques , 2003 .

[19]  Marek Musial,et al.  Actuator fault detection in autonomous helicopters , 2004 .

[20]  Gaurav S. Sukhatme,et al.  Sensor fault detection and identification in a mobile robot , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[21]  Ye Zhongming,et al.  A review on induction motor online fault diagnosis , 2000, Proceedings IPEMC 2000. Third International Power Electronics and Motion Control Conference (IEEE Cat. No.00EX435).

[22]  Guillermo Heredia,et al.  Sensor and actuator fault detection in small autonomous helicopters , 2008 .

[23]  Sebastien Glaser,et al.  Development of Full Speed Range ACC with SiVIC, a virtual platform for ADAS Prototyping, Test and Evaluation , 2013, 2013 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

[24]  Manuel Béjar,et al.  Detection of Sensor Faults in Autonomous Helicopters , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[25]  Wang Jian,et al.  A GNSS Based Slide and Slip Detection Method for Train Positioning , 2009, 2009 Asia-Pacific Conference on Information Processing.

[26]  R. Patton,et al.  Robust fault detection using eigenstructure assignment: a tutorial consideration and some new results , 1991, [1991] Proceedings of the 30th IEEE Conference on Decision and Control.

[27]  G. Heredia,et al.  Sensor fault detection in small autonomous helicopters using observer/Kalman filter identification , 2009, 2009 IEEE International Conference on Mechatronics.

[28]  Gaurav S. Sukhatme,et al.  Fault detection and identification in a mobile robot using multiple-model estimation , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[29]  Dominique Gruyer,et al.  Multi-sensor localization - Visual Odometry as a low cost proprioceptive sensor , 2012, 2012 15th International IEEE Conference on Intelligent Transportation Systems.

[30]  R. J. Patton,et al.  Detection of faulty sensors in aero jet engine systems using robust model-based methods , 1991 .