A Volterra kernel identification scheme applied to aerodynamic reactions

1990 ◽  
Author(s):  
JEFFREY TROMP ◽  
JERRY JENKINS
Keyword(s):  
Volterra Kernel ◽  
Identification Scheme ◽  
Volterra Kernel Identification

Multiwavelet Constructions and Volterra Kernel Identification

2006 ◽  
Vol 43 (3) ◽  
pp. 277-310 ◽  
Author(s):  
Richard J. Prazenica ◽  
Andrew J. Kurdila
Keyword(s):  
Volterra Kernel ◽  
Volterra Kernel Identification

Third-Order Volterra Kernel Identification Technique in Aerodynamics

2011 ◽  
Vol 52-54 ◽  
pp. 618-623
Author(s):  
Yun Hai Wang ◽  
Jing Long Han ◽  
Wei Zhou
Keyword(s):  
Nonlinear System ◽  
Volterra Series ◽  
Volterra Kernel ◽  
Third Order ◽  
Volterra Kernels ◽  
Weakly Nonlinear ◽  
The Third ◽  
Identification Technique ◽  
Volterra Kernel Identification ◽  
Identification Techniques

In this paper, we will extend a Volterra identification technique of nonlinear systems. In reality there exists a large class of weakly Nonlinear System which can be well defined by the first few kernels of the Volterra series. In general, Engineers believe that identifying high-order Volterra kernels is a big problem and hope for the advent of better identification techniques. However, with the extensive development of the Volterra kernels’ identification technique, the situation may improve. The formulas used to calculate kernels up to the third-order are given.

scholarly journals Diagnosis of Inter-Turn Short Circuit of Synchronous Generator Rotor Winding Based on Volterra Kernel Identification

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2524 ◽  
Author(s):  
Luo Wang ◽  
Yonggang Li ◽  
Junqing Li
Keyword(s):  
Volterra Series ◽  
Least Squares Method ◽  
Early Stage ◽  
Short Circuit ◽  
Synchronous Generator ◽  
Transfer Model ◽  
Volterra Kernel ◽  
The Time Domain ◽  
Rotor Winding ◽  
Volterra Kernel Identification

The inter-turn short circuit is a common fault in the synchronous generator. This fault is not easily detected at early stage. However, with the development of the fault, it will pose a threat to the safe operation of the generator. To detect the inter-turn short circuit of rotor winding, the feasibility of identifying the stator branch characteristics of synchronous generator during inter-turn short circuit was analyzed. In this paper, an on-line fault identification method based on Volterra kernel identification is presented. This method uses the stator branch voltage and stator unbalance branch current collected from the generator as input and output signals of the series model. Recursive batch least squares method is applied to calculate the three kernels of Volterra series. When the generator is in normal state or fault state, the Volterra kernel will change accordingly. Through the identification of the time-domain kernel of the nonlinear transfer model, the inter-turn short circuit fault of the synchronous generator is diagnosed. The correctness and effectiveness of this method is verified by using the data of fault experimental synchronous generator.

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