An integrated Empirical Mode Decomposition and Butterworth filter based vehicle trajectory reconstruction method

Considering the lack of precision in transforming measured micro-electro-mechanical system (MEMS) accelerometer output signals into elevation signals, this paper proposes a bridge dynamic displacement reconstruction method based on the combination of ensemble empirical mode decomposition (EEMD) and time domain integration, according to the vibration signal traits of a bridge. Through simulating bridge analog signals and verifying a vibration test bench, four bridge dynamic displacement monitoring methods were analyzed and compared. The proposed method can effectively eliminate the influence of low-frequency integral drift and high-frequency ambient noise on the integration process. Furthermore, this algorithm has better adaptability and robustness. The effectiveness of the method was verified by field experiments on highway elevated bridges.

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A longitudinal scanline based vehicle trajectory reconstruction method for high-angle traffic video

Transportation Research Part C Emerging Technologies ◽

10.1016/j.trc.2019.03.015 ◽

2019 ◽

Vol 103 ◽

pp. 104-128 ◽

Cited By ~ 6

Author(s):

Tianya Zhang ◽

Peter J. Jin

Keyword(s):

Reconstruction Method ◽

High Angle ◽

Trajectory Reconstruction ◽

Traffic Video ◽

Vehicle Trajectory

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Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation

10.20944/preprints201608.0123.v1 ◽

2016 ◽

Author(s):

Jingjing He ◽

Yibin Zhou ◽

Xuefei Guan ◽

Wei Zhang ◽

Wei Fang Zhang ◽

...

Keyword(s):

Empirical Mode Decomposition ◽

Stress Responses ◽

Numerical Study ◽

Reconstruction Method ◽

Fiber Sensors ◽

Mode Decomposition ◽

Structural Responses ◽

Novel Method ◽

Strain Stress ◽

Increasing Demand

Structural health monitoring has been studied by a number of researchers as well as various industries to keep up with the increasing demand for preventive maintenance routines. This work presents a novel method for reconstruct prompt, informed strain/stress responses at the hot spots of the structures based on strain measurements at remote locations. The structural responses measured from usage monitoring system at available locations are decomposed into modal responses using empirical mode decomposition. Transformation equations based on finite element modeling are derived to extrapolate the modal responses from the measured locations to critical locations where direct sensor measurements are not available. Then, two numerical examples (a two-span beam and a 19956-degree of freedom simplified airfoil) are used to demonstrate the overall reconstruction method. Finally, the present work investigates the effectiveness and accuracy of the method through a set of experiments conducted on an aluminium alloy cantilever beam commonly used in air vehicle and spacecraft. The experiments collect the vibration strain signals of the beam via optical fiber sensors. Reconstruction results are compared with theoretical solutions and a detailed error analysis is also provided.

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