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Non-intrusive condition monitoring based on event detection and functional data clustering.

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Title: Non-intrusive condition monitoring based on event detection and functional data clustering.
Authors: Bermeo-Ayerbe, Miguel Angel1,2, mbermeo@ainguraiiot.commiguel.angel.bermeo@upc.edu, Ocampo-Martinez, Carlos1, carlos.ocampo@upc.edu, Diaz-Rozo, Javier2, jdiaz@ainguraiiot.com
Source: Engineering Applications of Artificial Intelligence; Sep2023, Vol. 124, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 169813962
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.engappai.2023.106625
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      – Code: eng
        Text: English
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      – TitleFull: Non-intrusive condition monitoring based on event detection and functional data clustering.
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            NameFull: Bermeo-Ayerbe, Miguel Angel
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            NameFull: Ocampo-Martinez, Carlos
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            NameFull: Diaz-Rozo, Javier
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            – D: 01
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              Text: Sep2023
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              Y: 2023
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              Value: 124
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            – TitleFull: Engineering Applications of Artificial Intelligence
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