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A Semi-supervised Temporal Convolutional Network with Residual Denoising and Additive Self-attention Mechanism for Bearing and Turbofan Engine RUL Prediction

Crossref DOI link: https://doi.org/10.1007/s42417-026-02358-2

Published Online: 2026-03-14

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ji, Jiaxin

Wang, Youming https://orcid.org/0000-0002-5184-2705
Qu, Tingting
Funding

Funding for this research was provided by:

Key Research and Development Program of Shaanxi Province of China (2025CY-YBXM-602)

Scientific Research Program Funded By Education Department of Shaanxi Provincial Governmnet (24JC083)

Graduate Student Innovation Fund of Xi'an University of Posts and Telecommunications (CXJJYL2024069)
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Text and Data Mining valid from 2026-03-14

Version of Record valid from 2026-03-14
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Article History

Received: 23 July 2025

Revised: 23 December 2025

Accepted: 21 January 2026

First Online: 14 March 2026

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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