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Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions
Research article (Digital Signal Processing, 2020) · cited 15× · AI/ML
Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions
Summary
Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions is a scholarly article[1].
Key Facts
Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions. Retrieved May 24, 2026, from https://4ort.xyz/entity/elimination-of-end-effects-in-lmd-by-bi-lstm-regression-network-and-applications-for-rolling-element-bearings-characteri
MLA“Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/elimination-of-end-effects-in-lmd-by-bi-lstm-regression-network-and-applications-for-rolling-element-bearings-characteri.
BibTeX@misc{4ortxyz_elimination-of-end-effects-in-lmd-by-bi-lstm-regression-network-and-applications-for-rolling-element-bearings-characteri_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions}}, year = {2026}, url = {https://4ort.xyz/entity/elimination-of-end-effects-in-lmd-by-bi-lstm-regression-network-and-applications-for-rolling-element-bearings-characteri}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Elimination of end effects in LMD by Bi-LSTM regression network and applications for rolling element bearings characteristic extraction under different loading conditions — https://4ort.xyz/entity/elimination-of-end-effects-in-lmd-by-bi-lstm-regression-network-and-applications-for-rolling-element-bearings-characteri (retrieved 2026-05-24)
