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A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers

1
School of Transportation and Civil engineering, Nantong University, Nantong 226019, Jiangsu, China
2
Département Mécanique, Institut National des Sciences Appliquées de Rouen, 76800 Saint-Étienne-du-Rouvray, France
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(16), 3343; https://doi.org/10.3390/app9163343
Received: 12 June 2019 / Revised: 8 August 2019 / Accepted: 9 August 2019 / Published: 14 August 2019
(This article belongs to the Special Issue Vibration-Based Structural Health Monitoring)
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Abstract

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. View Full-Text
Keywords: Kriging surrogate model; surveillance sensor; interference reduction; transmission tower Kriging surrogate model; surveillance sensor; interference reduction; transmission tower
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Shi, J.; Chu, L.; Souza de Cursi, E. A Kriging Surrogate Model for the Interference Reduction in the Settlement Surveillance Sensors of Steel Transmission Towers. Appl. Sci. 2019, 9, 3343.

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