Adaptive sparsest narrow-band decomposition method and its applications to rolling element bearing fault diagnosis

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Adaptive sparsest narrow-band decomposition method and its applications to rolling element bearing fault diagnosis

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作者：Junsheng Cheng^a ; ^b ; Yanfeng Peng^a ; ^b ; ^{515667195@qq.com" class="auth_mail" title="E-mail the corresponding author} ; ^{pyf1988@sina.com" class="auth_mail" title="E-mail the corresponding author} ; Yu Yang^a ; ^b ; Zhantao Wu^a ; ^b
关键词：Adaptive sparsest narrow-band decomposition ; Intrinsic narrow-band components ; Local narrow-band signal ; Singular local linear operator ; Rolling element bearing fault diagnosis
刊名：Mechanical Systems and Signal Processing
出版年：2017
出版时间：15 February 2017
年：2017
卷：85
期：Complete
页码：947-962
全文大小：3533 K

文摘

•: Adaptive sparsest narrow-band decomposition method for fault diagnosis is proposed.
•: ASNBD is compared with adaptive sparsest time-frequency analysis and EMD.
•: Results show that ASNBD is suitable for non-stationary data analysis.

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