DIAGNOSIS WITH THE CORRELATION INTEGRAL IN TIME DOMAIN

✍ Scribed by TAKAYUKI KOIZUMI; NOBUTAKA TSUJIUCHI; YUICHI MATSUMURA

• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 134 KB
• Volume: 14
• Category: Article
• ISSN: 0888-3270
• DOI: 10.1006/mssp.1999.1258

✦ Synopsis

In this paper, a method to detect some kind of mechanical failures has been proposed. Based on the fact that any defect on the mechanical system would be inherently de"ned as statistical di!erences, we propose that the correlation exponents based on the Grass-berger}Procaccia algorithm can be adopted as a diagnostic index. Chattering vibration during cutting process has been investigated as typical example to detect an abnormal vibration. Then the di!erence between the two stages of normal condition and chattering has been obtained based on the tendency of correlation exponents. Moreover, in order to reduce the noise, only principal components are used for re-embedding space and the modi"ed version of Grassberger}Procaccia algorithm is applied to the re-embedding space. Then the correlation exponents estimated with the modi"ed version of the Grassber-ger}Procaccia algorithm show more obvious distinction between normal and abnormal condition than those of original Grassberger}Procaccia algorithm.