Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective

James Griffin, Alejandro J Doberti, Valbort Hernández, Nicolás A. Miranda, Maximiliano A. Vélez

    Research output: Contribution to journal › Article › peer-review

    6 Citations (Scopus)
    88 Downloads (Pure)

    Fingerprint

    Dive into the research topics of 'Multiple classification of the force and acceleration signals extracted during multiple machine processes: part 1 intelligent classification from an anomaly perspective'. Together they form a unique fingerprint.

    Computer Science

    Engineering

    Material Science