A Method of Chatter Marks Identification Based on Autocorrelation-Threshold

作者: Li Ming Wang , Yi Lin Yuan , Yi Min Shao

DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.572.485

关键词:

摘要: Mill chattering is frequently observed in the strip rolling process which causes dark and bright fringes on surface. Due to complex vibration sources characteristic signals usually masked by heavy noise signals, how identify control mill are always difficult problems. This paper proposes an autocorrelation-threshold method extract periodical components associated with evaluate occurrence of vibration. proved be effective using experimental different speeds.

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