Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring.

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Title: Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring.
Authors: Meire, Maarten1,2, maarten.meire@kuleuven.be, Van Baelen, Quinten1,2, quinten.vanbaelen@kuleuven.be, Ooijevaar, Ted3, ted.ooijevaar@flandersmake.be, Karsmakers, Peter1,2, peter.karsmakers@kuleuven.be
Source: Machine Learning; Jul2025, Vol. 114 Issue 7, p1-38, 38p
Database: Applied Science & Technology Source
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  Data: Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring.
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  Data: <searchLink fieldCode="AU" term="%22Meire%2C+Maarten%22">Meire, Maarten</searchLink><relatesTo>1,2</relatesTo>, <i>maarten.meire@kuleuven.be</i><br /><searchLink fieldCode="AU" term="%22Van+Baelen%2C+Quinten%22">Van Baelen, Quinten</searchLink><relatesTo>1,2</relatesTo>, <i>quinten.vanbaelen@kuleuven.be</i><br /><searchLink fieldCode="AU" term="%22Ooijevaar%2C+Ted%22">Ooijevaar, Ted</searchLink><relatesTo>3</relatesTo>, <i>ted.ooijevaar@flandersmake.be</i><br /><searchLink fieldCode="AU" term="%22Karsmakers%2C+Peter%22">Karsmakers, Peter</searchLink><relatesTo>1,2</relatesTo>, <i>peter.karsmakers@kuleuven.be</i>
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  Data: <searchLink fieldCode="JN" term="%22Machine+Learning%22">Machine Learning</searchLink>; Jul2025, Vol. 114 Issue 7, p1-38, 38p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185647668
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      – Type: doi
        Value: 10.1007/s10994-025-06779-0
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      – Code: eng
        Text: English
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        PageCount: 38
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      – TitleFull: Constraint guided autoencoders for joint optimization of condition indicator estimation and anomaly detection in machine condition monitoring.
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            NameFull: Meire, Maarten
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            NameFull: Van Baelen, Quinten
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            NameFull: Ooijevaar, Ted
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              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 114
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              Value: 7
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