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Keywords: genetic algorithm
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. December 2019, 141(6): 061005.
Paper No: VIB-19-1204
Published Online: September 5, 2019
... Vibration Control, Using Genetic Algorithm ,” J. Sound Vib. , 329 ( 10 ), pp. 1615 – 1635 . 10.1016/j.jsv.2009.12.001 [19] Julai , S. , and Tokhi , M. O. , 2010 , “ Vibration Suppression of Flexible Plate Structures Using Swarm and Genetic Optimization Techniques ,” J. Low. Freq. Noise...
Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Vib. Acoust. August 2019, 141(4): 041008.
Paper No: VIB-18-1198
Published Online: April 18, 2019
... frequencies. In the proposed algorithm, these estimated instantaneous properties are utilized to improve the pole-placement method as an adaptive active control technique. The required active control gains are obtained using a genetic algorithm scheme, and optimal gains are calculated corresponding...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. April 2010, 132(2): 021001.
Published Online: March 15, 2010
... material treatments by means of an auxiliary mass and stiffness matrix, which was added to the baseline modal base; using this procedure, the required time for the simulation of each damping material layout configuration is reduced to a few minutes, allowing to exploit the genetic algorithm capability...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. February 2009, 131(1): 011002.
Published Online: December 29, 2008
... features using genetic algorithm for the diagnosis of a rotating machinery to prove the validity of this approach. Experimental results indicate that both diagnosis accuracy and robustness of diagnosis system can be improved by integrating different diagnosis methods and/or fault features. It is therefore...
Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. October 2008, 130(5): 051007.
Published Online: August 14, 2008
... classifier parameters are optimized using a genetic algorithm. To reduce the computation cost, decrease the size, and enhance the reliability of the ANN, only the predominant wavelet transform scales are selected for features’ extraction. The results for both real and simulated bearing vibration data show...