TY - GEN
T1 - A Piezoelectric Impedance-based Structural Fault Detection by Using Transformer
AU - Wang, Xian
AU - Xu, Jiawen
AU - Yan, Ruqiang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Electromechanical impedance based (EMI) method is a nondestructive method for detecting structural faults, and the frequency response curve of EMI can effectively show the fault condition of the structure. Transformer neural network has achieved good results in natural language and other fields since it was proposed. In this paper, we simulate different fault states of cantilever beam by changing different bolt loosening and tightening states, and use EMI method to measure the amplitude frequency response curves under different fault conditions, and then use the encoder module of Transformer network and softmax to classify the amplitude data after filtering the response signal. The results show that Transformer network can efficiently classify different fault cases of cantilever beam bolts.
AB - Electromechanical impedance based (EMI) method is a nondestructive method for detecting structural faults, and the frequency response curve of EMI can effectively show the fault condition of the structure. Transformer neural network has achieved good results in natural language and other fields since it was proposed. In this paper, we simulate different fault states of cantilever beam by changing different bolt loosening and tightening states, and use EMI method to measure the amplitude frequency response curves under different fault conditions, and then use the encoder module of Transformer network and softmax to classify the amplitude data after filtering the response signal. The results show that Transformer network can efficiently classify different fault cases of cantilever beam bolts.
KW - fault detection
KW - impedance-based method
KW - transformer neural network
UR - https://www.scopus.com/pages/publications/85150424712
U2 - 10.1109/ICSMD57530.2022.10058240
DO - 10.1109/ICSMD57530.2022.10058240
M3 - 会议稿件
AN - SCOPUS:85150424712
T3 - 2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings
BT - 2022 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2022
Y2 - 22 December 2022 through 24 December 2022
ER -