TY - GEN
T1 - Sensor fault identification based on Error-Correcting Output Codes method
AU - Zhou, Rui
AU - Chen, Jie
AU - Deng, Fang
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/23
Y1 - 2015/9/23
N2 - In this paper, we proposed a method within the framework of Error-Correcting Output Codes (ECOC) to solve sensor fault feature extraction and online identification problem. Time and frequency domain signal features are selected as the initial fault characteristics, and we enhance the separability of initial characteristics by a nonlinear transformation based on the probabilistic confidence of the first ECOC outputs. Then construct the second ECOC to classify the fault state taking the feature extracted from the first ECOC as the input. We compared the accuracy and efficiency with this method between different ECOC coding strategies. The results indicate that some certain coding combination show better results on efficiency and accuracy, being able to meet the demand of sensor online fault identification. And generalization experiment on UCI Machine Learning Repository show that this method can also be promoted to other problems.1
AB - In this paper, we proposed a method within the framework of Error-Correcting Output Codes (ECOC) to solve sensor fault feature extraction and online identification problem. Time and frequency domain signal features are selected as the initial fault characteristics, and we enhance the separability of initial characteristics by a nonlinear transformation based on the probabilistic confidence of the first ECOC outputs. Then construct the second ECOC to classify the fault state taking the feature extracted from the first ECOC as the input. We compared the accuracy and efficiency with this method between different ECOC coding strategies. The results indicate that some certain coding combination show better results on efficiency and accuracy, being able to meet the demand of sensor online fault identification. And generalization experiment on UCI Machine Learning Repository show that this method can also be promoted to other problems.1
UR - https://www.scopus.com/pages/publications/84960887007
U2 - 10.1109/ICCIS.2015.7274561
DO - 10.1109/ICCIS.2015.7274561
M3 - Conference contribution
AN - SCOPUS:84960887007
T3 - Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015
SP - 131
EP - 136
BT - Proceedings of the 2015 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and Robotics, Automation and Mechatronics, RAM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2015 and the 7th IEEE International Conference on Robotics, Automation and Mechatronics, RAM 2015
Y2 - 15 July 2015 through 17 July 2015
ER -