Machine hearing for industrial fault diagnosis

This paper proposes to apply a machine hearing framework for industrial fault diagnosis, which is inspired by humans' 'listening and diagnostic' capability in identifying machinery faults. The proposed method combines simplified human auditory functionalities with machine learning, ai...

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Bibliographic Details
Main Authors: Eve Zhang, Miguel Martinez-Garcia
Format: Default Conference proceeding
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/2134/15073527.v1
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