Strong Tracking Particle Filter Based Fault Diagnosis for Nonlinear Systems

2006 ◽  
Author(s):  
Liu Shirong ◽  
He Wenbo
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Particle Filter

A Dual Particle Filter-Based Fault Diagnosis Scheme for Nonlinear Systems

2018 ◽  
Vol 26 (4) ◽  
pp. 1317-1334 ◽  
Author(s):  
Najmeh Daroogheh ◽  
Nader Meskin ◽  
Khashayar Khorasani
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Particle Filter

Discussion on: Sensor Gain Fault Diagnosis for a Class of Nonlinear Systems

2006 ◽  
Vol 12 (5) ◽  
pp. 536-544 ◽  
Author(s):  
Hassan Noura ◽  
Abbas Chamseddine
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Sensor Gain

Fault diagnosis based on new particle swarm optimization particle filter

2013 ◽  
Vol 32 (2) ◽  
pp. 432-435
Author(s):  
Zhi-min CHEN ◽  
Yu-ming BO ◽  
Pan-long WU ◽  
Meng-chu TIAN ◽  
Shao-xin LI ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Fault Diagnosis ◽  
Particle Filter ◽  
Particle Swarm ◽  
Swarm Optimization

scholarly journals Fault diagnosis for Takagi-Sugeno nonlinear systems

2009 ◽  
Vol 42 (8) ◽  
pp. 504-509 ◽  
Author(s):  
Dalil Ichalal ◽  
Benoit Marx ◽  
José Ragot ◽  
Didier Maquin
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Takagi Sugeno

scholarly journals Weighted Measurement Fusion Particle Filter for Nonlinear Systems with Correlated Noises

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3242 ◽  
Author(s):  
Ke Wei Zhang ◽  
Gang Hao ◽  
Shu Li Sun
Keyword(s):  
Nonlinear Systems ◽  
Particle Filter ◽  
Series Expansion ◽  
Taylor Series ◽  
Asymptotic Optimality ◽  
Taylor Series Expansion ◽  
Full Rank ◽  
Expansion Method ◽  
Least Square ◽  
Correlated Noises

The multi-sensor information fusion particle filter (PF) has been put forward for nonlinear systems with correlated noises. The proposed algorithm uses the Taylor series expansion method, which makes the nonlinear measurement functions have a linear relationship by the intermediary function. A weighted measurement fusion PF (WMF-PF) was put forward for systems with correlated noises by applying the full rank decomposition and the weighted least square theory. Compared with the augmented optimal centralized fusion particle filter (CF-PF), it could greatly reduce the amount of calculation. Moreover, it showed asymptotic optimality as the Taylor series expansion increased. The simulation examples illustrate the effectiveness and correctness of the proposed algorithm.

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