水力发电学报 ›› 2017, Vol. 36 ›› Issue (6): 103-113.doi: 10.11660/slfdxb.20170612
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Abstract: In view of the shortcoming of traditional empirical mode decomposition (EMD), the method is improved by using signal frequency modulation and optimizing mode selection criterion. The relationship of decomposition ability versus selection criterion, iteration number, and frequency modulation was studied, and a detailed procedure of frequency modulation is given. A closely-spaced mode identification method was developed using window functions, signal frequency modulation, and improved selection criterion, and it was validated via simulations of vibration signals observed in-situ. The results show that the improved method can effectively identify the parameters of closely-spaced modes, thus laying a basis for EMD application to power plant analysis and identification of its vibration parameters.
荣钦彪,刘昉,宿策,康宏志. EMD密集模态识别研究及在电站厂房中的应用[J]. 水力发电学报, 2017, 36(6): 103-113.
RONG Qinbiao, LIU Fang, SU Ce, KANG Hongzhi. EMD identification of closely-spaced modes and its application to power plant analysis[J]. JOURNAL OF HYDROELECTRIC ENGINEERING, 2017, 36(6): 103-113.
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链接本文: http://www.slfdxb.cn/CN/10.11660/slfdxb.20170612
http://www.slfdxb.cn/CN/Y2017/V36/I6/103
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