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Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis.

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Title: Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis.
Authors: Ling, Yunhan1, Fu, Dianyu1, romhand_fdy@163.com, Jiang, Peng1, Sun, Yong1, Yuan, Chao1, Huang, Dali1, Lu, Jingfeng2, Lu, Siliang2
Source: Transactions of the Institute of Measurement & Control; Mar2024, Vol. 46 Issue 5, p858-870, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 175572310
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1177/01423312231185702
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 858
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      – TitleFull: Lightweight and intelligent model based on enhanced sparse filtering for rotating machine fault diagnosis.
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            NameFull: Ling, Yunhan
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            NameFull: Fu, Dianyu
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            NameFull: Jiang, Peng
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            NameFull: Yuan, Chao
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            NameFull: Huang, Dali
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            – D: 01
              M: 03
              Text: Mar2024
              Type: published
              Y: 2024
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            – TitleFull: Transactions of the Institute of Measurement & Control
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