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A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM.

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Title: A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM.
Authors: Song, Shenglin1,2, Zhu, Chunhui2, Zhang, Shilong1,2, Hao, Wangshen2, hws@zzu.edu.cn, Zhao, Jieang1, Jin, Song1
Source: Applied Sciences (2076-3417); Sep2026, Vol. 16 Issue 17, p8878, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 197044584
AccessLevel: 2
PubType: Academic Journal
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  Data: A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=197044584
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        Value: 10.3390/app16178878
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      – Code: eng
        Text: English
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      – TitleFull: A Fault Diagnosis Framework for Rolling Bearings Based on PPCA-AR Anti-Interference Preprocessing and LSTM.
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            NameFull: Zhu, Chunhui
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              M: 09
              Text: Sep2026
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              Y: 2026
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