An algorithm to remove noise from locomotive bearing vibration signal based on self-adaptive EEMD filter

An improved ensemble empirical mode decomposition （EEMD） algorithm is described in this work, in which the sifting and ensemble number are self-adaptive. In particular, the new algorithm can effectively avoid the mode mixing problem. The algorithm has been validated with a simulation signal and loco...

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Veröffentlicht in:	Journal of Central South University 2017-02, Vol.24 (2), p.478-488
1. Verfasser:	王春生 沙春阳 粟梅 胡玉坤
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive filters Algorithms Bearing Computer simulation Engineering Metallic Materials Sifting
Online-Zugang:	Volltext
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