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Journal article

L2-Norm Shapelet Dictionary Learning-Based Bearing-Fault Diagnosis in Uncertain Working Conditions

Abstract

Bearing-fault diagnosis is an important research topic and is crucial in modern industrial systems. Several methods for bearing-fault diagnosis have been developed. However, most existing methods can only detect faults under controlled working conditions or the variation of a single working condition (e.g., a varying load). When the working conditions change or multiple uncertain working conditions are encountered, the model performance is …

Authors

Zhang J; Song X; Gao L; Shen W; Chen J

Journal

IEEE Sensors Journal, Vol. 22, No. 3, pp. 2647–2657

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2022

DOI

10.1109/jsen.2021.3139844

ISSN

1530-437X