Fault Diagnosis of Nonlinear Systems Using a Hybrid Approach

2009 ◽  
Author(s):  
Ehsan Sobhani-Tehrani ◽  
Khashayar Khorasani
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Hybrid Approach

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

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 Application of hybrid asymptotic methods and modern software for mathematical models developing for nonlinear dynamics of structures with variables in time parameters

2021 ◽  
pp. 66-70
Author(s):  
S. Homeniuk ◽  
S. Grebenyuk ◽  
D. Gristchak
Keyword(s):  
Nonlinear Dynamics ◽  
Numerical Methods ◽  
Nonlinear Systems ◽  
Analytical Solution ◽  
Mathematical Models ◽  
Nonlinear Dynamic ◽  
Numerical Solutions ◽  
Hybrid Approach ◽  
Time Dependent ◽  
Forced Oscillations

The relevance. The aerospace domain requires studies of mathematical models of nonlinear dynamic structures with time-varying parameters. The aim of the work. To obtain an approximate analytical solution of nonlinear forced oscillations of the designed models with time-dependent parameters. The research methods. A hybrid approach based on perturbation methods, phase integrals, Galorkin orthogonalization criterion is used to obtain solutions. Results. Nonlocal investigation of nonlinear systems behavior is done using results of analytical and numerical methods and developed software. Despite the existence of sufficiently powerful numerical software systems, qualitative analysis of nonlinear systems with variable parameters requires improved mathematical models based on effective analytical, including approximate, solutions, which using numerical methods allow to provide a reliable analysis of the studied structures at the stage designing. An approximate solution in analytical form is obtained with constant coefficients that depend on the initial conditions. Conclusions. The approximate analytical results and direct numerical solutions of the basic equation were compared which showed a sufficient correlation of the obtained analytical solution. The proposed algorithm and program for visualization of a nonlinear dynamic process could be implemented in nonlinear dynamics problems of systems with time-dependent parameters.

Sensor Gain Fault Diagnosis for a Class of Nonlinear Systems

2006 ◽  
Vol 12 (5) ◽  
pp. 523-535 ◽  
Author(s):  
Youqing Wang ◽  
Donghua H. Zhou
Keyword(s):  
Fault Diagnosis ◽  
Nonlinear Systems ◽  
Sensor Gain
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