TY - GEN
T1 - Real-Time Automatic Anomaly Detection Approach Designed for Electrified Railway Power System
AU - Ren, Huiqiao
AU - Zhou, Fulin
AU - Fujisawa, Katsuki
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/2/3
Y1 - 2021/2/3
N2 - An automatic and intelligent abnormal electrical process detection scheme is crucial for protecting the stability and power quality of an electrical power system and further, the operation of the future grid. This paper introduces the automatic monitoring system for electrified railway power system and designs a framework based on the convolution neural network for abnormal electrical process detection, integrating the data processing, feature extraction, and classification into one model. Then inception blocks are introduced as a kernel-wise approach to boost the performance. The data from the railway electrification system is applied to this scheme and receives a high performance of 97% abnormal electrical process recognition rate.
AB - An automatic and intelligent abnormal electrical process detection scheme is crucial for protecting the stability and power quality of an electrical power system and further, the operation of the future grid. This paper introduces the automatic monitoring system for electrified railway power system and designs a framework based on the convolution neural network for abnormal electrical process detection, integrating the data processing, feature extraction, and classification into one model. Then inception blocks are introduced as a kernel-wise approach to boost the performance. The data from the railway electrification system is applied to this scheme and receives a high performance of 97% abnormal electrical process recognition rate.
UR - http://www.scopus.com/inward/record.url?scp=85104846402&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104846402&partnerID=8YFLogxK
U2 - 10.1109/ICMRE51691.2021.9384838
DO - 10.1109/ICMRE51691.2021.9384838
M3 - Conference contribution
AN - SCOPUS:85104846402
T3 - 2021 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
SP - 116
EP - 120
BT - 2021 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Mechatronics and Robotics Engineering, ICMRE 2021
Y2 - 3 February 2021 through 5 February 2021
ER -