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Ulsan Univ. Repository Journal Papers Engineering IT Convergence

Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions

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Issued Date: 2020

Type: Article

Keyword: Bearings; bispectrum analysis; convolutional neural networks (CNNs); fault diagnosis (FD); induction motors; rotating machines

DOI: 10.1109/TIM.2019.2933342

URI: https://oak.ulsan.ac.kr/handle/2021.oak/10503

Publisher: IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Language: 영어

ISSN: 0018-9456

Citation Volume: 69

Citation Number: 6

Citation Start Page: 3334

Citation End Page: 3347

Appears in Collections:: Engineering > IT Convergence

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