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Rolling bearing fault diagnosis based on improved complete ensemble empirical mode of decomposition with adaptive noise combined with minimum entropy deconvolution

The vibration signals provide useful information about the state of rolling bearing and the diagnosis of the faults requires an accurate analysis of these signals. Several methods have been developed for diagnosing rolling bearing faults by vibration signal analysis. In this paper, we present an imp...

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Main Authors: Abdelkader Rabah, Kaddour Abdelhafid
格式: Artigo
語言:Inglês
出版: JVE International 2018-02-01
叢編:Journal of Vibroengineering
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在線閱讀:https://www.jvejournals.com/article/18762
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