TY - GEN
T1 - A real-time fault detection and isolation strategy for gas sensor arrays
AU - Yang, Jingli
AU - Chen, Yinsheng
AU - Sun, Zhen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/5
Y1 - 2017/7/5
N2 - A real-time fault detection and isolation strategy for gas sensor arrays is presented in this paper. To improve the efficiency of the basic kernel principal component analysis (KPCA) algorithm, a sample selection method is utilized to extract the approximate basis of the entire training sample set, and reduce the time consumption on the calculation of the kernel matrix. Further, a novel algorithm for reducing the number of fault direction set candidates is also developed to improve the efficiency of the basic reconstruction-based contribution (RBC) method in fault isolation. The proposed strategy is fully verified in a real experimental system for gas sensor arrays under multiple-fault situations. The results of the experiments illustrate that the proposed strategy provides an efficient scheme for the real-time process monitoring of gas sensor arrays.
AB - A real-time fault detection and isolation strategy for gas sensor arrays is presented in this paper. To improve the efficiency of the basic kernel principal component analysis (KPCA) algorithm, a sample selection method is utilized to extract the approximate basis of the entire training sample set, and reduce the time consumption on the calculation of the kernel matrix. Further, a novel algorithm for reducing the number of fault direction set candidates is also developed to improve the efficiency of the basic reconstruction-based contribution (RBC) method in fault isolation. The proposed strategy is fully verified in a real experimental system for gas sensor arrays under multiple-fault situations. The results of the experiments illustrate that the proposed strategy provides an efficient scheme for the real-time process monitoring of gas sensor arrays.
KW - Fault detection and isolation
KW - Gas sensor arrays
KW - Kernel principal component analysis
KW - Real-time
KW - Reconstruction-based contribution
UR - https://www.scopus.com/pages/publications/85026830748
U2 - 10.1109/I2MTC.2017.7969906
DO - 10.1109/I2MTC.2017.7969906
M3 - 会议稿件
AN - SCOPUS:85026830748
T3 - I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
BT - I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2017
Y2 - 22 May 2017 through 25 May 2017
ER -