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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.22 No.3
- 발행연도
- 2018.1
- 수록면
- 359 - 368 (10page)
이용수
초록· 키워드
오류제보하기
A method is proposed for the identification of instantaneous frequencies (IFs) in time-varying structures. The proposed method combines a maximum gradient algorithm and a smoothing operation. The maximum gradient algorithm is designed to extract the wavelet ridges of response signals. The smoothing operation, based on a polynomial curve fitting algorithm and a threshold method, is employed to reduce the effects of random noises. To verify the effectiveness and accuracy of the proposed method, a numerical example of a signal with two frequency modulated components is investigated and an experimental test on a steel cable with time-varying tensions is also conducted. The results demonstrate that the proposed method can extract IFs from the noisy multi-component signals and practical response signals successfully. In addition, the proposed method can provide a better IF identification results than the standard synchrosqueezing wavelet transform.
목차
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참고문헌 (36)
참고문헌 신청
Cao, H. / 2016 / Zoom synchrosqueezing transform and iterative demodulation: Methods with application / Mech. Syst. Signal Pr. 72-73:695~711
Carmona, R. / 1997 / Characterization of signals by the ridges of their wavelet transforms / T. Signal Pr. 45(10):2586~2590
Carmona, R. / 1999 / Multi-ridge detection and time-frequency reconstruction / IEEE T. Signal Proces. 47(2):480~492
Chang, S.G. / 2000 / Adaptive wavelet thresholding for image denoising and compression / IEEE T. Image Processing 9(9):1532~1546
Chen, X. / 2016 / Efficient modeling of fiber optic gyroscope drift using improved EEMG and extreme learning machine / Signal Process. 128:1~7
Carmona, R. / 1997 / Characterization of signals by the ridges of their wavelet transforms / T. Signal Pr. 45(10):2586~2590
Carmona, R. / 1999 / Multi-ridge detection and time-frequency reconstruction / IEEE T. Signal Proces. 47(2):480~492
Chang, S.G. / 2000 / Adaptive wavelet thresholding for image denoising and compression / IEEE T. Image Processing 9(9):1532~1546
Chen, X. / 2016 / Efficient modeling of fiber optic gyroscope drift using improved EEMG and extreme learning machine / Signal Process. 128:1~7
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