Slip detection of locomotive based on fuzzy entropy algorithm
Huiyi Wang, Jingchun Huang, Xinxia Wang, Yujun Feng · 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) · 2017
A new method to measure the complexity of time series is presented - fuzzy entropy algorithm (FuzzyEn). Firstly, the adhesion mechanism and the traditional methods of slip detection are introduced. Then, the principle of fuzzy entropy algorithm is described. At last, the algorithm is applied to measure the complexity of locomotive speed signal. As the experimental data showed, the proposed method can effectively identify the slip state of locomotive. Compared with the traditional methods, it can detect the slip state of the locomotive in advance.