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Fault Diagnosis of Gearbox Bearings of High-speed Train Based on the SVD-MOMEDA

Aiming at problems of high-speed train gearbox bearing fault signals being difficult to detect under strong noise background, and the problem that the multipoint optimal minimum entropy deconvolution adjusted(MOMEDA) method was affected by the order of filter and the period of impulse signal, an imp...

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Bibliografiset tiedot
Päätekijät: Dan ZHU, Yanchen SU, Chunguang YAN
Aineistotyyppi: Artigo
Kieli:Chinês
Julkaistu: Editorial Department of Electric Drive for Locomotives 2020-03-01
Sarja:机车电传动
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Linkit:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2020.02.126
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