Title :
A wheel slip detection method of electric locomotive based on time-frequency analysis
Author :
Jingchun Huang ; Jian Xiao ; Dan Zhao ; Song Wang
Author_Institution :
South-West JIAOTONG Univ., Chengdu, China
Abstract :
Rapid and effective identification of wheel slip plays an important significance to improve traction force of electric locomotive. A novel detection method of wheel slip was studied in this paper. Firstly, the Hilbert energy spectrum of wheel speed was calculated with the Hilbert-Huang Transform method. The tendency of wheel slip was obtained with the energy spectrum change. Then the acceleration was calculated after filtering the wheel speed data. The wheel slip was detected using the tendency of wheel slip and acceleration combined with the analysis of time domain and frequency domain. Finally, a water spring wheel-slip test was conducted with a HXD2C-type electric locomotive to verify the effectiveness of the detection method.
Keywords :
Hilbert transforms; electric locomotives; time-frequency analysis; HXD2C-type electric locomotive; Hilbert energy spectrum; Hilbert-Huang Transform method; energy spectrum; time domain; time-frequency analysis; traction force improve; wheel slip detection method; wheel speed; wheel speed data; Conferences; Intelligent transportation systems;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957854