An approach based on singular spectrum analysis and the Mahalanobis distance for tool breakage detection

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 228, Issue 18, 2014, Pages 3505-3516

  Liu, Hongqi ^a   Lian, Lingneng ^a   Li, Bin ^a   Mao, Xinyong ^a   Yuan, Shaobin ^b   Peng, Fangyu ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b Erzhong   (China)

Author keywords

end milling; Mahalanobis distance; Singular spectrum analysis; spindle motor current

Indexed keywords

CONDITION MONITORING; CUTTING TOOLS; MACHINE TOOLS; SIGNAL PROCESSING;

END MILLING; MAHALANOBIS DISTANCES; NON-PARAMETRIC TECHNIQUES; NONLINEAR AND NON-STATIONARY SIGNALS; SINGULAR SPECTRUM ANALYSIS; SPINDLE MOTOR CURRENTS; TOOL CONDITION MONITORING; VERTICAL MACHINING CENTERS;

SPECTRUM ANALYSIS;

EID: 84913528779     PISSN: 09544062     EISSN: 20412983     Source Type: Journal    
DOI: 10.1177/0954406214528888     Document Type: Article

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