A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers
The utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly affect the accuracy and identification of mod...
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doaj-6f2d3fd942b84424b519f5ff079c0a152020-11-25T01:18:49ZengMDPI AGApplied Sciences2076-34172019-08-01916334310.3390/app9163343app9163343A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission TowersJiajia Shi0Liu Chu1Eduardo Souza de Cursi2School of Transportation and Civil engineering, Nantong University, Nantong 226019, Jiangsu, ChinaSchool of Transportation and Civil engineering, Nantong University, Nantong 226019, Jiangsu, ChinaDépartement Mécanique, Institut National des Sciences Appliquées de Rouen, 76800 Saint-Étienne-du-Rouvray, FranceThe utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly affect the accuracy and identification of modal frequency sensors. In order to reduce the interference of modal frequency sensors for transmission towers, a Kriging surrogate model is proposed in this study. The finite element model of typical transmission towers is created and validated to provide the effective original database for the Kriging surrogate model. The prediction accuracy and convergences of the Kriging surrogate model are measured and confirmed. Besides the merits in computational cost and high-efficiency, the Kriging surrogate model is proven to have a satisfied and robust interference reduction capacity. Therefore, the Kriging surrogate model is feasible and competitive for interference filtration in the settlement surveillance sensors of steel transmission towers.https://www.mdpi.com/2076-3417/9/16/3343Kriging surrogate modelsurveillance sensorinterference reductiontransmission tower |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jiajia Shi Liu Chu Eduardo Souza de Cursi |
spellingShingle |
Jiajia Shi Liu Chu Eduardo Souza de Cursi A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers Applied Sciences Kriging surrogate model surveillance sensor interference reduction transmission tower |
author_facet |
Jiajia Shi Liu Chu Eduardo Souza de Cursi |
author_sort |
Jiajia Shi |
title |
A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers |
title_short |
A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers |
title_full |
A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers |
title_fullStr |
A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers |
title_full_unstemmed |
A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers |
title_sort |
kriging surrogate model for the interference reduction in the settlement surveillance sensors of steel transmission towers |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2019-08-01 |
description |
The utilization of modal frequency sensors is a feasible and effective way to monitor the settlement problem of the transmission tower foundation. However, the uncertainties and interference in the real operation environment of transmission towers highly affect the accuracy and identification of modal frequency sensors. In order to reduce the interference of modal frequency sensors for transmission towers, a Kriging surrogate model is proposed in this study. The finite element model of typical transmission towers is created and validated to provide the effective original database for the Kriging surrogate model. The prediction accuracy and convergences of the Kriging surrogate model are measured and confirmed. Besides the merits in computational cost and high-efficiency, the Kriging surrogate model is proven to have a satisfied and robust interference reduction capacity. Therefore, the Kriging surrogate model is feasible and competitive for interference filtration in the settlement surveillance sensors of steel transmission towers. |
topic |
Kriging surrogate model surveillance sensor interference reduction transmission tower |
url |
https://www.mdpi.com/2076-3417/9/16/3343 |
work_keys_str_mv |
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