The Study of Time-frequency Domain Accelerated Editing Method for Road Load Spectrum of Automobile Rubber Isolator

2022-01-0738

03/29/2022

Event
WCX SAE World Congress Experience
Authors Abstract
Content
In order to improve the efficiency of durability testing of automobile parts, a time-frequency domain accelerated editing method of road load spectrum of rubber mount on powertrain was discussed. Based on Stockwell Transform (ST) theory and Accumulative Power Spectral Density (APSD), a new time-frequency domain accelerated editing method (ST-APSD) was proposed. The accumulative power spectral density was obtained by ST of the load spectrum signal of automobile powertrain rubber mounting force collected by the real vehicle in the test field. Based on this, the threshold value was set to identify and delete the small damage load fragments, and the acceleration spectrum was obtained. At the same time, the existing time-frequency domain accelerated editing methods (short-time Fourier transform and wavelet transform) were used to accelerate the editing of the force load spectrum, and the editing effects of the three time-frequency domain editing methods were compared and analyzed from four aspects: time compression, pseudo-damage retention, power spectral density and step crossing count. In addition, uniaxial fatigue tests of rubber structural parts were carried out to further verify that the acceleration spectrum has the same loading effect as the original load spectrum. The results showed that the ST-APSD - based spectral editing method has the best editing effect, and the original spectral compression time can be reduced by 15.38% on the basis of retaining 99% pseudo damage. This method can be used to test the fatigue durability of automobile powertrain rubber mount.
Meta TagsDetails
Citation
Zhu, X., "The Study of Time-frequency Domain Accelerated Editing Method for Road Load Spectrum of Automobile Rubber Isolator," SAE Technical Paper 2022-01-0738, 2022, .
Additional Details
Publisher
Published
Mar 29, 2022
Product Code
2022-01-0738
Content Type
Technical Paper
Language
English