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Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis.

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Title: Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis.
Authors: Caesarendra, Wahyu1, wahyu.caesarendra@ubd.edu.bn, Pratama, Mahardhika2, mpratama@ntu.edu.sg, Kosasih, Buyung3, buyung@uow.edu.au, Tjahjowidodo, Tegoeh4, ttegoeh@ntu.edu.sg, Glowacz, Adam5, adglow@agh.edu.pl
Source: Applied Sciences (2076-3417); Dec2018, Vol. 8 Issue 12, p2656, 21p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis.
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        Value: 10.3390/app8122656
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      – Code: eng
        Text: English
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        PageCount: 21
        StartPage: 2656
    Titles:
      – TitleFull: Parsimonious Network Based on a Fuzzy Inference System (PANFIS) for Time Series Feature Prediction of Low Speed Slew Bearing Prognosis.
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            NameFull: Caesarendra, Wahyu
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            NameFull: Pratama, Mahardhika
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            NameFull: Kosasih, Buyung
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            NameFull: Tjahjowidodo, Tegoeh
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            NameFull: Glowacz, Adam
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            – D: 01
              M: 12
              Text: Dec2018
              Type: published
              Y: 2018
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              Value: 8
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              Value: 12
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