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Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis

Research article (Knowledge-Based Systems, 2024) · cited 26× · AI/ML
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Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis

Summary

Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis is a scholarly article[1].

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  • Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-timescale-attention-residual-shrinkage-network-with-adaptive-global-local-denoising-for-rolling-bearing-fault-diag
MLA “Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-timescale-attention-residual-shrinkage-network-with-adaptive-global-local-denoising-for-rolling-bearing-fault-diag.
BibTeX @misc{4ortxyz_multi-timescale-attention-residual-shrinkage-network-with-adaptive-global-local-denoising-for-rolling-bearing-fault-diag_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/multi-timescale-attention-residual-shrinkage-network-with-adaptive-global-local-denoising-for-rolling-bearing-fault-diag}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-timescale attention residual shrinkage network with adaptive global-local denoising for rolling-bearing fault diagnosis — https://4ort.xyz/entity/multi-timescale-attention-residual-shrinkage-network-with-adaptive-global-local-denoising-for-rolling-bearing-fault-diag (retrieved 2026-05-24)

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