Intelligent Wear Condition Prediction of Ball Bearings Based on Convolutional Neural Networks and Lubricating Oil
Ball bearings play a pivotal role in rotating machinery, making it crucial to detect their wear condition in real time for preventive maintenance. This paper proposes a novel method, involving one-dimensional convolutional neural network (1DCNN) and lubricating oil, which is sensitive to early abnor...
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Published in | Journal of failure analysis and prevention Vol. 24; no. 4; pp. 1854 - 1864 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Materials Park
Springer Nature B.V
01.08.2024
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Subjects | |
Online Access | Get full text |
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