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Health monitoring of Bridges based on multifractal theory


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Selcuk Bas, (2019).Estimation of Seismic Response of R/C Frame Structures to Vertical Earthquake Motion Considering Fixed Support and Soil-Structure-Interaction, Uluslararast Muhendislik Arastirma ve Gelistirme Dergisi, 1,7-17. Search in Google Scholar

A. Malekjafarian, E.J. OBrien. (2014). Identification of bridge mode shapes using Short Time Frequency Domain Decomposition of the responses measured in a passing vehicle, Engineering Structures, 81,386-397,10.1016/j.engstruct.2014.10.007. Search in Google Scholar

J Liu, J Zheng, X Wei, et al. (2019). A combined method for instantaneous frequency identification in low frequency structures,Engineering Structures, 194: 370-383,10.1016/j.engstruct.2019.05.057. Search in Google Scholar

J. Mao, H. Wang, Y. Fu, et al. (2019). Automated modal identification using principal component and cluster analysis Application to a long span cable stayed bridge, Structural Control and Health Monitoring, 26,1-20,10.1002/stc.2430. Search in Google Scholar

Y. Zhu, S. Au, James,Mark William Brown john. (2019).Bayesian operational modal analysis with buried modes, Mechanical Systems and Signal Processing,121,246-263,10.1016/j.ymssp.2018.11.022. Search in Google Scholar

Y. pen. (2019).Study on wavelet correlation denoising of sampled signals from bridge health monitoring, Noise and vibration control,39(03),204-209. Search in Google Scholar

X. Liu, D. Dan, K. Tan. (2019). Near-field pulse seismic signal denoising algorithm based on complementary set empirical mode decomposition, Railway construction.59(05),59-63. Search in Google Scholar

Y. Cheng, Z. Zhong.(2019).Intelligent recognition of real modes of bridge structures, Journal of Vibration Engineering, 32(03),471-479. Search in Google Scholar

W. Pang.(2017).Research and System Implementation of Rolling Bearing Fault Diagnosis Method Based on Fractal Theory[D]. Beijing University of Chemical Technology. Search in Google Scholar

L. Zhao.(2010). Study on Fractal Method for Fault Feature Extraction of Rotating Machinery System [D], Chongqing university. Search in Google Scholar

eISSN:
2444-8656
Język:
Angielski
Częstotliwość wydawania:
Volume Open
Dziedziny czasopisma:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics