TY - GEN
T1 - A data driven dynamic health monitoring method for Electronic System
AU - Zhang, Aihua
AU - Huang, Kailun
AU - Xinghuo,
AU - Yang, Xuebo
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/17
Y1 - 2016/11/17
N2 - Considering the health monitoring requirement of Electronic System, two indexes, such as detection speed and detection reliability, are indispensable. Here a data driven dynamic health monitoring (DDDHM) method is presented. The main idea of DDDHM is to employ a robust learning machine robust least square support vector regression (LSSVR) to monitor quality of electronic system. As to obtain more flexibility, which benefit for getting more support vector, here two-kernel function is employed. Moreover, roust LSSVR can deal with the data set under the disturbance for its robust property, Numerical experiment reveal the validity of the proposed DDDHM.
AB - Considering the health monitoring requirement of Electronic System, two indexes, such as detection speed and detection reliability, are indispensable. Here a data driven dynamic health monitoring (DDDHM) method is presented. The main idea of DDDHM is to employ a robust learning machine robust least square support vector regression (LSSVR) to monitor quality of electronic system. As to obtain more flexibility, which benefit for getting more support vector, here two-kernel function is employed. Moreover, roust LSSVR can deal with the data set under the disturbance for its robust property, Numerical experiment reveal the validity of the proposed DDDHM.
KW - DDDHM
KW - Data driven
KW - Dynamic health monitoring
KW - Electronic system
UR - https://www.scopus.com/pages/publications/85001064856
U2 - 10.1109/ISIE.2016.7745029
DO - 10.1109/ISIE.2016.7745029
M3 - 会议稿件
AN - SCOPUS:85001064856
T3 - IEEE International Symposium on Industrial Electronics
SP - 1006
EP - 1010
BT - Proceedings - 2016 IEEE 25th International Symposium on Industrial Electronics, ISIE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 25th IEEE International Symposium on Industrial Electronics, ISIE 2016
Y2 - 8 June 2016 through 10 June 2016
ER -