How to accurately determine the filter scale is still an unsolved problem for multi-scale morphology filter. However, this problem is of great importance that the filtering accuracy is directly influenced by the filtering scale. A time-varying scale morphology filter is proposed. The length and height of a structure element are on longer fixed in the filtering process. The structure element can adjust adaptively according to the geometric shape of a signal being analyzed, which makes it could match the raw signal more closely. Therefore, the scale selection problem in multi-scale morphology filter is avoided. To improve the filtering accuracy further, a new type of structure element is constructed and compared with the traditional flat structure element. The proposed method is then applied to the experimental data collected from an unbalance test rig of cardan shaft. The research results show that the proposed time-varying scale morphology filter is effective to identify the fundamental frequency and multiple frequencies caused by the unbalance of cardan shaft. Comparing with the multi-scale morphological filter, time-varying scale morphology filter is more capable to manifest fault features.
LI Yifan
,
LIU Jianxin
,
LIN Jianhui
. High Speed Train Cardan Shaft Fault Detection Based on Time-varying Scale Morphology Filter[J]. Journal of Mechanical Engineering, 2018
, 54(4)
: 278
-284
.
DOI: 10.3901/JME.2018.04.278
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