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    Open Access

    Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems

    Deep transfer learning (DTL) allows for the efficient building of intelligent fault diagnosis systems (IFDS). On the other hand, DTL methods still heavily rely on large amounts of labelled data. Obtaining such...

    Giancarlo Santamato, Andrea Mattia Garavagno, Massimiliano Solazzi… in Nonlinear Dynamics (2024)

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