TY - GEN
T1 - Support Vector Machine for Function Degradation Prediction of Macro Fiber Composite
AU - Duan, Qing Fang
AU - Wang, Wei
AU - Yang, Zhi Chun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Macro fiber composite (MFC) will experience function degradation under the influence of the stress field, which is one of the key concerns in its application. In order to prevent the deterioration of the vibration control effect of the MFC actuator on the structure, it is necessary to propose an effective method to predict the function degradation of MFC. In this study support vector machine (SVM) is adopted in the function degradation prediction modeling of MFC. Aiming at the typical problem of stress-induced function degradation of MFC, a nonlinear prediction model based on SVM is established. The experimental data is used as samples to train the SVM model, and an effective method based on the established model for the function degradation prediction of MFC is proposed. The fitting error of the model to the experimental data is less than 1%, and the maximum prediction error for the MFC function degradation curve under 30MPa stress is 6.2%.
AB - Macro fiber composite (MFC) will experience function degradation under the influence of the stress field, which is one of the key concerns in its application. In order to prevent the deterioration of the vibration control effect of the MFC actuator on the structure, it is necessary to propose an effective method to predict the function degradation of MFC. In this study support vector machine (SVM) is adopted in the function degradation prediction modeling of MFC. Aiming at the typical problem of stress-induced function degradation of MFC, a nonlinear prediction model based on SVM is established. The experimental data is used as samples to train the SVM model, and an effective method based on the established model for the function degradation prediction of MFC is proposed. The fitting error of the model to the experimental data is less than 1%, and the maximum prediction error for the MFC function degradation curve under 30MPa stress is 6.2%.
KW - Function degradation
KW - Macro fiber composite
KW - Prediction method
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=85149437670&partnerID=8YFLogxK
U2 - 10.1109/SPAWDA56268.2022.10045841
DO - 10.1109/SPAWDA56268.2022.10045841
M3 - 会议稿件
AN - SCOPUS:85149437670
T3 - Proceedings of the 2022 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2022
SP - 445
EP - 449
BT - Proceedings of the 2022 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, SPAWDA 2022
Y2 - 10 October 2022 through 14 October 2022
ER -