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HOC Based Blind Identification of Hydroturbine Shaft Volterra System
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In order to identify the quadratic Volterra system simplified from the hydroturbine shaft system, a blind identification method based on the third-order cumulants and a reversely recursive method are proposed.
The input sequence of the system under consideration is an unobservable independent identically distributed (i.i.d.), zero-mean and non-Gaussian stationary signal, and the observed signals are the superposition of the system output signal and Gaussian noise.
To calculate the third-order moment of the output signal, a computer loop judgment method is put forward to determine the coefficient.
When using optimization method to identify the time domain kernels, we combined the traditional optimization algorithm (direct search method) with genetic algorithm (GA) and constituted the hybrid genetic algorithm (HGA).
Finally, according to the prototype observation signal and the time domain kernel parameters obtained from identification, the input signal of the system can be gained recursively.
To test the proposed method, three numerical experiments and engineering application have been carried out.
The results show that the method is applicable to the blind identification of the hydroturbine shaft system and has strong universality; the input signal obtained by the reversely recursive method can be approximately taken as the random excitation acted on the runner of the hydroturbine shaft system.
American Psychological Association (APA)
Bai, Bing& Lixiang, Zhang. 2017. HOC Based Blind Identification of Hydroturbine Shaft Volterra System. Shock and Vibration،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204832
Modern Language Association (MLA)
Bai, Bing& Lixiang, Zhang. HOC Based Blind Identification of Hydroturbine Shaft Volterra System. Shock and Vibration No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1204832
American Medical Association (AMA)
Bai, Bing& Lixiang, Zhang. HOC Based Blind Identification of Hydroturbine Shaft Volterra System. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1204832
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204832