Ellipsoidal bounding set-membership identification approach for robust fault diagnosis with application to mobile robots

2017 ◽  
Vol 28 (5) ◽  
pp. 986-995 ◽  
Author(s):  
Bo Zhou ◽  
◽  
Kun Qian ◽  
Xudong Ma ◽  
Xianzhong Dai ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Mobile Robots ◽  
Set Membership ◽  
Identification Approach

FAULT DIAGNOSIS IN A PROCESS EXPERIMENTAL CONTROL SYSTEM WITH UNKNOWN FACTORS

2008 ◽  
Vol 07 (01) ◽  
pp. 151-155 ◽  
Author(s):  
AKIRA INOUE ◽  
MINGCONG DENG
Keyword(s):  
Control System ◽  
Fault Diagnosis ◽  
Experimental System ◽  
Detection Problem ◽  
Experimental Control ◽  
Blind System Identification ◽  
Experimental Process ◽  
Identification Approach ◽  
Simulation Results ◽  
Detecting Method

A fault detection problem in a process control experimental system with unknown factors is presented in this paper. The fault detecting method is based on blind system identification approach. The experimental system actuator output includes unknown dynamics and unknown fault signal. By using the fault detecting method, the fault signal is detected. Simulation results for the experimental process are presented to show the effectiveness.

Fault Diagnosis of Wind Turbines using a Set-membership Approach

2011 ◽  
Vol 44 (1) ◽  
pp. 8316-8321 ◽  
Author(s):  
Joaquim Blesa ◽  
Vicenç Puig ◽  
Juli Romera ◽  
Jordi Saludes
Keyword(s):  
Fault Diagnosis ◽  
Wind Turbines ◽  
Set Membership

scholarly journals A MIT-Based Nonlinear Adaptive Set-Membership Filter for the Ellipsoidal Estimation of Mobile Robots' States

10.5772/51904 ◽  
2012 ◽  
Vol 9 (4) ◽  
pp. 125 ◽  
Author(s):  
Dalei Song ◽  
Chong Wu ◽  
Juntong Qi ◽  
Jianda Han ◽  
Tianran Wang
Keyword(s):  
Mobile Robots ◽  
Set Membership
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