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Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Research article (Processes, 2023) · cited 18× · AI/ML
Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling
Summary
Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling is a scholarly article[1].
Key Facts
Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/residual-life-prediction-of-rolling-bearings-based-on-a-ceemdan-algorithm-fused-with-cnnattention-based-bidirectional-ls
MLA“Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/residual-life-prediction-of-rolling-bearings-based-on-a-ceemdan-algorithm-fused-with-cnnattention-based-bidirectional-ls.
BibTeX@misc{4ortxyz_residual-life-prediction-of-rolling-bearings-based-on-a-ceemdan-algorithm-fused-with-cnnattention-based-bidirectional-ls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling}}, year = {2026}, url = {https://4ort.xyz/entity/residual-life-prediction-of-rolling-bearings-based-on-a-ceemdan-algorithm-fused-with-cnnattention-based-bidirectional-ls}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Residual Life Prediction of Rolling Bearings Based on a CEEMDAN Algorithm Fused with CNN–Attention-Based Bidirectional LSTM Modeling — https://4ort.xyz/entity/residual-life-prediction-of-rolling-bearings-based-on-a-ceemdan-algorithm-fused-with-cnnattention-based-bidirectional-ls (retrieved 2026-05-24)
