Direct Remaining Useful Life Prediction for Rolling Bearing Using Temporal Convolutional Networks

SSCI, pp. 2965-2971, 2019.

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Abstract:

The rolling bearing prognostics holds a great potential in improving maintenance actions and promoting reliability for the operation of the machinery. This paper proposes a novel direct bearing remaining useful life (RUL) prediction approach based on the newly developed temporal convolutional networks (TCN). Unlike many exist data-driven ...More

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