@article{ART002915626},
author={Haitao Wang and Min, Byung-Won},
title={Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2022},
volume={8},
number={6},
pages={55-63},
doi={10.20465/KIOTS.2022.8.6.055}
TY - JOUR
AU - Haitao Wang
AU - Min, Byung-Won
TI - Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology
JO - Journal of Internet of Things and Convergence
PY - 2022
VL - 8
IS - 6
PB - The Korea Internet of Things Society
SP - 55
EP - 63
SN - 2466-0078
AB - In recent years, with the rapid development of large and medium-sized urban rail transit in China, the total operating mileage of high-speed railway and the total number of EMUs(Electric Multiple Units) are rising. The system complexity of high-speed EMU is constantly increasing, which puts forward higher requirements for the safety of equipment and the efficiency of maintenance.At present, the maintenance mode of high-speed EMU in China still adopts the post maintenance method based on planned maintenance and fault maintenance, which leads to insufficient or excessive maintenance, reduces the efficiency of equipment fault handling, and increases the maintenance cost. Based on the intelligent operation and maintenance technology of PHM(prognostics and health management). This thesis builds an integrated PHM platform of "vehicle system-communication system-ground system" by integrating multi-source heterogeneous data of different scenarios of high-speed EMU, and combines the equipment fault mechanism with artificial intelligence algorithms to build a fault prediction model for traction motors of high-speed EMU.Reliable fault prediction and accurate maintenance shall be carried out in advance to ensure safe and efficient operation of high-speed EMU.
KW - High speed EMU;Prognostics;Model;Neural Network;Intelligence
DO - 10.20465/KIOTS.2022.8.6.055
ER -
Haitao Wang and Min, Byung-Won. (2022). Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology. Journal of Internet of Things and Convergence, 8(6), 55-63.
Haitao Wang and Min, Byung-Won. 2022, "Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology", Journal of Internet of Things and Convergence, vol.8, no.6 pp.55-63. Available from: doi:10.20465/KIOTS.2022.8.6.055
Haitao Wang, Min, Byung-Won "Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology" Journal of Internet of Things and Convergence 8.6 pp.55-63 (2022) : 55.
Haitao Wang, Min, Byung-Won. Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology. 2022; 8(6), 55-63. Available from: doi:10.20465/KIOTS.2022.8.6.055
Haitao Wang and Min, Byung-Won. "Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology" Journal of Internet of Things and Convergence 8, no.6 (2022) : 55-63.doi: 10.20465/KIOTS.2022.8.6.055
Haitao Wang; Min, Byung-Won. Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology. Journal of Internet of Things and Convergence, 8(6), 55-63. doi: 10.20465/KIOTS.2022.8.6.055
Haitao Wang; Min, Byung-Won. Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology. Journal of Internet of Things and Convergence. 2022; 8(6) 55-63. doi: 10.20465/KIOTS.2022.8.6.055
Haitao Wang, Min, Byung-Won. Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology. 2022; 8(6), 55-63. Available from: doi:10.20465/KIOTS.2022.8.6.055
Haitao Wang and Min, Byung-Won. "Research and Application of Fault Prediction Method for High-speed EMU Based on PHM Technology" Journal of Internet of Things and Convergence 8, no.6 (2022) : 55-63.doi: 10.20465/KIOTS.2022.8.6.055