Affiliation:
1. School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan, China
2. School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou
Abstract
Fatigue data editing (FDE) is an effective scheme to shorten the time of durability bench testing of vehicle components. In this paper, four existing FDE method for vehicle components were evaluated and compared. Moreover, a novel FDE method based on variational mode decomposition (VMD) algorithm was proposed. In this method, the VMD algorithm was used to decompose the fatigue data into several intrinsic mode function (IMF) components. The instantaneous energy spectrum of the fatigue data was obtained using the Hilbert transform to analyze the IMF components. Then, the damaging segments were extracted to obtain the edited fatigue data. Fatigue data measured at powertrain mount was used for method comparative study. Results indicate that the time compression ratio of the VMD-based method is about 16.09%, which is larger than that of other editing methods. Furthermore, the experiment data shows that the editing effect of the proposed method were encouraging.
Funder
National Natural Science Foundation of China
Subject
Mechanical Engineering,Aerospace Engineering