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Fault diagnosis studies of face milling cutter using machin..:
Madhusudana, CK
;
Budati, S
;
Gangadhar, N
..
Journal of Low Frequency Noise, Vibration and Active Control. 35 (2016) 2 - p. 128-138 , 2016
Link:
https://doi.org/10.1177/0263092316644090
RT Journal T1 <Title>Fault diagnosis studies of face milling cutter using machine learning approach</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_0263092316644090&Exemplar=1&LAN=DE A1 Madhusudana, CK A1 Budati, S A1 Gangadhar, N A1 Kumar, H A1 Narendranath, S PB SAGE Publications YR 2016 SN 1461-3484 SN 2048-4046 JF Journal of Low Frequency Noise, Vibration and Active Control VO 35 IS 2 SP 128 OP 138 LK http://dx.doi.org/https://doi.org/10.1177/0263092316644090 DO https://doi.org/10.1177/0263092316644090 SF ELIB - SuUB Bremen
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