One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes
• Decoupled convolutional layers were applied to decoupling features. • Fullyconnected layers were improved by decoupled operators. • The proposed method had excellent performance for fault diagnosis.
Autor*in: |
Chang, Xu [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2020 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:141 ; year:2020 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.ymssp.2019.106482 |
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10.1016/j.ymssp.2019.106482 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000000946.pica (DE-627)ELV049744720 (ELSEVIER)S0888-3270(19)30703-4 DE-627 ger DE-627 rakwb eng 570 630 VZ BIODIV DE-30 fid Chang, Xu verfasserin aut One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes 2020 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Decoupled convolutional layers were applied to decoupling features. • Fullyconnected layers were improved by decoupled operators. • The proposed method had excellent performance for fault diagnosis. Decoupled network Elsevier Fault diagnosis Elsevier Decoupled operators Elsevier One-dimensional convolutional neural network Elsevier Planetary gearbox Elsevier Tang, Baoping oth Tan, Qian oth Deng, Lei oth Zhang, Fanghong oth Enthalten in Elsevier Jaroenkietkajorn, Ukrit ELSEVIER Species loss from land use of oil palm plantations in Thailand 2021 mssp Amsterdam [u.a.] (DE-627)ELV007151810 volume:141 year:2020 pages:0 https://doi.org/10.1016/j.ymssp.2019.106482 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA AR 141 2020 0 |
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one-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes |
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One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes |
abstract |
• Decoupled convolutional layers were applied to decoupling features. • Fullyconnected layers were improved by decoupled operators. • The proposed method had excellent performance for fault diagnosis. |
abstractGer |
• Decoupled convolutional layers were applied to decoupling features. • Fullyconnected layers were improved by decoupled operators. • The proposed method had excellent performance for fault diagnosis. |
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• Decoupled convolutional layers were applied to decoupling features. • Fullyconnected layers were improved by decoupled operators. • The proposed method had excellent performance for fault diagnosis. |
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One-dimensional fully decoupled networks for fault diagnosis of planetary gearboxes |
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