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Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal

Abstract Grinding burn monitoring is of great importance to guarantee the surface integrity of the workpiece. Existing methods monitor overall signal variation. However, the signals produced by metal burn are always weak. Therefore, the detection rate of grinding burn still needs to be improved. The...

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Principais autores: Zheyu Gao, Jing Lin, Xiufeng Wang, Yuhe Liao
Formato: Artigo
Idioma:Inglês
Publicado em: KeAi Communications Co., Ltd. 2019-08-01
Colecção:Chinese Journal of Mechanical Engineering
Assuntos:
Acesso em linha:http://link.springer.com/article/10.1186/s10033-019-0384-0
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