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http://dx.doi.org/10.5050/KSNVE.2015.25.10.677

Selection of Fitness Function of Genetic Algorithm for Optimal Sensor Placement for Estimation of Vibration Pattern of Structures  

Jung, Byung-Kyoo (School of Mechanical Engineering, Pusan National University)
Bae, Kyeong-Won (School of Mechanical Engineering, Pusan National University)
Jeong, Weui-Bong (School of Mechanical Engineering, Pusan National University)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.25, no.10, 2015 , pp. 677-684 More about this Journal
Abstract
It is often necessary to predict the vibration patterns of the structures from the signals of finite number of vibration sensors. This study presents the optimal placement of vibration sensors by applying the genetic algorithm and the modal expansion method. The modal expansion method is used to estimate the vibration response of the whole structure. The genetic algorithm is used to estimate the optimal placement of vibration sensors. Optimal sensor placement can be obtained so that the fitness function is minimized in the genetic algorithm. This paper discusses the comparison of the performances of two types of fitness functions, modal assurance criteria(MAC) and condition number( CN). As a result, the estimation using MAC shows better performance than using CN.
Keywords
Structure-borne Noise; Modal Expansion Method; Genetic Algorithm; Modal Assurance Criterion; Condition Number; Modal Participation Factor;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Shin, M. C. and Wang, S. M., 2006, Comparison of Various Methods to Obtain Structural Vibration for Vibro-acoustic Noise, Proceedings of the KSNVE Annual Autumn Conference, pp. 570~574.
2 Jung, B. K. and Jeong, W. B., 2011, Identification of Vibration-field of a Compressor by using Modal Expansion Method, Proceedings of the KSNVE Annual Autumn Conference, pp. 635~636.
3 Jung, B. K. and Jeong, W. B., 2012, Estimation of Vibration and Radiated Noise of a Compressor by using Modal Expansion Method, Proceedings of the KSNVE Annual Spring Conference, pp. 554~555.
4 Jung, E. I., Chun, D. H. and No, S. H., 2006, Indirect Force Identification of Air-jet Weaving Machine Infrequency Domain, Proceedings of the KSNVE Annual Spring Conference, pp. 238~241.
5 Jung, B. K. and Jeong, W. B., 2014, Estimation of Vibration Field of a Cylindrical Structure Derived by Optimal Sensor Placement Methods, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 24, No. 5, pp. 381~389.   DOI
6 Zbigniew, M. (1996). Genetic Algorithm+Data Structure=Evolution Programs, Springer, ISBN 354-06-06769.
7 Lee, J. K., Yeo, S. D. and Bang, J. H., 1994, A Technique to Identify the Structure Borne Noise Sources Related to Structure Vibration using Response Signals, Proceedings of the KSNVE Annual Autumn Conference, pp. 160~164.
8 Song, M. K., Lee, S. K. and Seo, S. H., 2008, Structural Modification for Noise Reduction of the Blower Case in a Fuel Cell Passenger Car Based on the CAE Technology, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 18, No. 9, pp. 972~981.   DOI
9 Lee, H. W., Ryu, S. M., Jeong, W. B., Han, H. S. and Ahn, J. W., 2010, Force Identification of Rotary Compressor and Prediction of Vibration on a Pipe, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 20. No. 10, pp. 953~959.   DOI
10 Jung, B. K. and Jeong, W. B., 2011, Estimation of Vibration Source and Sound Radiation of a Refrigerator Fan by using Measured Acceleration Signals, Transactions of the Korean Society for Noise and Vibration Engineering, Vol. 21, No. 9, pp. 834~841.   DOI
11 Kim, B. K. and Ih, J. G., 1995, Reconstruction of Vibroacoustic Field from the Measured Pressures Using the Boundary Element Method, Proceedings of the KSNVE Annual Autumn Conference, pp. 50~55.