Multiple-Model Based Fault Detection and Diagnosis of Internal Sensors in Mobile Robot

2002 ◽  
Vol 2002 (0) ◽  
pp. 74
Author(s):  
M. Hashimoto ◽  
H. Kawashima ◽  
T. Nakagami ◽  
F. Oba
Keyword(s):  
Fault Detection ◽  
Mobile Robot ◽  
Fault Detection And Diagnosis ◽  
Multiple Model ◽  
Model Based ◽  
Detection And Diagnosis

Sensor Fault Detection and Diagnosis in Dead Reckoning System of Mobile Robot: Interacting Multiple-Model Approach

2002 ◽  
Vol 14 (4) ◽  
pp. 342-348
Author(s):  
Masafumi Hashimoto ◽  
◽  
Hiroyuki Kawashima ◽  
Fuminori Oba ◽  
Keyword(s):  
Fault Detection ◽  
Mobile Robot ◽  
Failure Modes ◽  
Dead Reckoning ◽  
Fault Detection And Diagnosis ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Sensor Fault ◽  
Sensor Fault Detection ◽  
Detection And Diagnosis

An interacting multiple-model (IMM) approach to sensor fault detection and diagnosis (FDD) in dead reckoning is proposed for navigating mobile robots. In this approach, changes of sensor normal/failure modes are explicitly modeled as switching from one mode to another in a probabilistic manner, and the sensor FDD and state estimate are achieved via a bank of parallel Kalman filters. To provide better FDD performance, mode probability averaging and heuristic decisionmaking logic are combined with the IMM based FDD algorithm. The proposed FDD is implemented on a skid-steered mobile robot, where 32 system modes (one normal mode and 31 hard sensor failure modes) of 5 sensors (4 wheel-encoders and one yaw-rate gyro) are handled. Experimental results validate the effectiveness of the proposed FDD.

Model-based fault detection and diagnosis for hydraulic braking systems

2003 ◽  
Vol 36 (5) ◽  
pp. 307-312 ◽  
Author(s):  
Harald Straky ◽  
Marco Muenchhof ◽  
Rolf Isermann
Keyword(s):  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Model Based ◽  
Detection And Diagnosis
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