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Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition
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| Zeitschriftentitel: | Sensors |
|---|---|
| Personen und Körperschaften: | , , |
| In: | Sensors, 19, 2019, 14, S. 3125 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Zou Chen Liu Zou Chen Liu |
|---|---|
| author |
Zou Chen Liu |
| spellingShingle |
Zou Chen Liu Sensors Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry |
| author_sort |
zou |
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Zou Chen Liu 1424-8220 MDPI AG Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry http://dx.doi.org/10.3390/s19143125 <jats:p>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.</jats:p> Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition Sensors |
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| title |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_unstemmed |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_full |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_fullStr |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_full_unstemmed |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_short |
Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_sort |
refactoring and optimization of bridge dynamic displacement based on ensemble empirical mode decomposition |
| topic |
Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry |
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http://dx.doi.org/10.3390/s19143125 |
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2019 |
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3125 |
| description |
<jats:p>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.</jats:p> |
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| description | <jats:p>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.</jats:p> |
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| spelling | Zou Chen Liu 1424-8220 MDPI AG Electrical and Electronic Engineering Biochemistry Instrumentation Atomic and Molecular Physics, and Optics Analytical Chemistry http://dx.doi.org/10.3390/s19143125 <jats:p>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.</jats:p> Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition Sensors |
| spellingShingle | Zou, Chen, Liu, Sensors, Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition, Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry |
| title | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_full | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_fullStr | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_full_unstemmed | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_short | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| title_sort | refactoring and optimization of bridge dynamic displacement based on ensemble empirical mode decomposition |
| title_unstemmed | Refactoring and Optimization of Bridge Dynamic Displacement Based on Ensemble Empirical Mode Decomposition |
| topic | Electrical and Electronic Engineering, Biochemistry, Instrumentation, Atomic and Molecular Physics, and Optics, Analytical Chemistry |
| url | http://dx.doi.org/10.3390/s19143125 |