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The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis
Research article (Applied Acoustics, 2023) · cited 39× · AI/ML
The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis
Summary
The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis is a scholarly article[1].
Key Facts
The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis's instance of is recorded as scholarly article[2].
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-lst-satm-net-a-new-deep-feature-learning-framework-for-aero-engine-hydraulic-pipeline-systems-intelligent-faults-dia
MLA“The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-lst-satm-net-a-new-deep-feature-learning-framework-for-aero-engine-hydraulic-pipeline-systems-intelligent-faults-dia.
BibTeX@misc{4ortxyz_the-lst-satm-net-a-new-deep-feature-learning-framework-for-aero-engine-hydraulic-pipeline-systems-intelligent-faults-dia_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/the-lst-satm-net-a-new-deep-feature-learning-framework-for-aero-engine-hydraulic-pipeline-systems-intelligent-faults-dia}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The LST-SATM-net: A new deep feature learning framework for aero-engine hydraulic pipeline systems intelligent faults diagnosis — https://4ort.xyz/entity/the-lst-satm-net-a-new-deep-feature-learning-framework-for-aero-engine-hydraulic-pipeline-systems-intelligent-faults-dia (retrieved 2026-05-24)
