Xiufeng Wu, Yongfeng Zuo, Liang Bing, C. Yang, and Z. Ge.  Identification of Structural Damage to Transmission Tower Structure Based on Dynamic Fingerprinting and Bayes Data Fusion.  Dynamic Systems and Applications 29 (2020) No. 1, 87-100

https://doi.org/10.46719/dsa2020296

This paper focuses on damage identification in transmission tower structure during operation. Using the dynamic principle of fingerprint identification, studied that the structural damage identification effect of two characteristic factors, curvature modal loss and average numerical modal strain energy of transmission tower structure. Then, Bayes data fusion is carried out with these two kinds of data, and the probability model of transmission tower structure damage calculation based on Bayes network classifier is established. Then, the study analyzes the impact of noise on the accuracy of damage identification. The results show that Bayes data fusion based on curvature modal loss and average numerical modal strain energy is beneficial to the identification of transmission tower structure damage location and degree, and improves the identification calculation efficiency and accuracy.

AMS Subject Classification. 15B15
Keywords. dynamic fingerprint; curvature modal loss; modal strain energy; data fusion; Bayes network; structural damage identification.