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.
Highlights
The steel transmission tower is a significant component of the electrical systems for the power transmission and distribution network [1,2]
This paper proposes a Kriging surrogate model to effectively reduce the interference in settlement surveillance sensors of steel transmission towers
By using the Kriging surrogate model, the implicit expression of the parameters is successfully represented, and the input signals provided by the sensors installed in the transmission tower can be effectively filtered for settlement identification
Summary
The steel transmission tower is a significant component of the electrical systems for the power transmission and distribution network [1,2]. The modal identification sensors are one of the promising technologies and have been widely used in structural health monitoring, such as in the reinforced concrete bridges [9,10] and wind turbine. The modal frequency sensors are effective in identifying the vibration of wind turbine blade and are sensitive to the structural changes related to damage or failures. It is necessary to develop the feasible analytical model to identify and reduce the interference in modal identification sensors of transmission towers. This paper proposes a Kriging surrogate model to effectively reduce the interference in settlement surveillance sensors of steel transmission towers. Based on the database of natural frequencies computed by the finite element method, a Kriging surrogate model is built to effectively reduce the interference or uncertainties in the identification of the transmission tower settlement. Some brief summaries are drawn in the last section
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