Vol. 22, No. 1, pp. 96-104 (2026)
RECONSTRUCTION METHOD OF HORIZONTAL TWO-DIRECTIONAL
DYNAMIC DISPLACEMENT OF TRANSMISSION TOWER BASED ON
LIMITED STRAIN DATA
Qing Zhang 1, 2, * and Wen-Qiang Jiang 1
1 Hebei Key Laboratory of Electric Machinery Health Maintenance & Failure Prevention, North China Electric Power University, Baoding 071003, China
2 State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116023, China
*(Corresponding author: E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.)
Received: 13 June 2025; Revised: 15 June 2025; Accepted: 15 June 2025
DOI:10.18057/IJASC.2026.22.1.8
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ABSTRACT
Transmission towers serve as critical carriers for electric energy transmission, making health monitoring research highly significant. Horizontal dynamic displacement is a key indicator in health monitoring; however, estimating the horizontal displacement of transmission towers using conventional equipment or methods remains challenging. Therefore, this paper proposes a reconstruction method for horizontal two-directional dynamic displacement based on measured strain data. Firstly, the simplified mechanical model of the transmission tower and the strain decoupling formula for main members are established. Then, the two-directional modal superposition method is developed by integrating the stochastic subspace identification (SSI) theory to realize the transformation from strain to displacement. Subsequently, the two-directional vibration simulations of the transmission tower show that the reconstruction error at the 27 m high measuring point is only 2.07%, and the method maintains high precision even under high noise conditions. Finally, a scaled model test of the transmission tower confirms that the reconstructed horizontal two-directional dynamic displacement matches the measured values closely in both time and frequency domains.
KEYWORDS
Transmission tower, Health monitoring, Measured strain, Two-directional displacement reconstruction, Scaled model test
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