Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4977033 | Mechanical Systems and Signal Processing | 2017 | 14 Pages |
Abstract
This study aims to introduce a novel method for accelerating fatigue tests. Strain signals measured at automotive suspension components were extracted based on the Morlet wavelet producing damaging segments. Furthermore, the segments were clustered using the Fuzzy C-Means to remove the segments having lower energy. The process was able to shorten the strain signals up to 41.4% and it was able to retain at least 90% of the fatigue damage. It reduced the testing time by more than 33%, with equivalent fatigue life. Indirectly, the use of modified strain signals could reduce device operating costs.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
T.E. Putra, S. Abdullah, D. Schramm, M.Z. Nuawi, T. Bruckmann,