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An empirical time‐domain trend line‐based bridge signal decomposing algorithm using Savitzky–Golay filter
Author(s) -
Kordestani Hadi,
Zhang Chunwei,
Masri Sami F.,
Shadabfar Mahdi
Publication year - 2021
Publication title -
structural control and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.587
H-Index - 62
eISSN - 1545-2263
pISSN - 1545-2255
DOI - 10.1002/stc.2750
Subject(s) - hilbert–huang transform , algorithm , binary golay code , benchmark (surveying) , bridge (graph theory) , signal (programming language) , residual , filter (signal processing) , process (computing) , noise (video) , time domain , computer science , signal processing , engineering , electronic engineering , artificial intelligence , digital signal processing , medicine , computer vision , programming language , geodesy , image (mathematics) , geography , operating system
Summary This paper develops a trend line‐based algorithm for signal decomposition in which the adjusted Savitzky–Golay filter is utilized to initiate the decomposition process. In this line, the proposed algorithm determines some special trend lines, mainly composed of the natural frequency of a bridge. An easy‐to‐implement algorithm is then provided to formulate this process and to decompose the given signal into its components in a systematic way. Additionally, a residual signal is generated by the proposed algorithm to store the detected noise and to reconstruct the original signal. To verify the proposed algorithm in the field of bridge health monitoring, a set of numerical and experimental examples are offered in which the proposed algorithm is employed to decompose the signal and provide the constituent components. Moreover, the application of the proposed algorithm in damage localization of the bridge is addressed in the appendix using a simply supported bridge under a moving vehicle. Finally, the bridge example is solved by empirical mode decomposition, as a promising benchmark method, to further illustrate the accuracy of the results and compare them in detail.