Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm

Ya LUO , Ke-ke GE , Xiao-wen YUAN , Hao WANG , Yi-bin HUANG , Wen-bing TU

Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (6) : 2356 -2363.

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Science Technology and Engineering ›› 2025, Vol. 25 ›› Issue (6) : 2356-2363 DOI: 10.12404/j.issn.1671-1815.2401445
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Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm
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Abstract

In order to solve the problem of difficulty in determining the optimal measurement points for bearing signal acquisition. Taking the NU306 bearing-housing system as the research object, the bearing housing to carry out multi-measurement points vibration test experiment. The local linear embedding algorithm was used to linearly reduce the multi-dimensional space data of the bearings to obtain the sensitivity matrix of the measurement point. The optimal position of the measuring point under varying load and rotation speed was studied when the inner or outer ring are defective. The results show that for bearings with outer ring failures, the optimal measurement point is the one closest to the location of the failure when the load or rotational speed increases. For bearings with inner ring failures, the optimal measurement point is the one at lower loads far from the center of the housing when the load or rotational speed increases. The results can provide an effective reference for the selection of measurement points under different operating conditions.

Keywords

rolling bearing / locally linear embedding / sensitivity / measurement point selection

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Ya LUO, Ke-ke GE, Xiao-wen YUAN, Hao WANG, Yi-bin HUANG, Wen-bing TU. Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm. Science Technology and Engineering, 2025, 25(6): 2356-2363 DOI:10.12404/j.issn.1671-1815.2401445

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