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Fault Diagnosis of a Single Point Cutting Tool using Statistical Features by Random Forest Classifier
Author(s) -
Cynthia Deb,
M. Ramesh Nachiappan,
M. Elangovan,
V. Sugumaran
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i33/101340
Subject(s) - random forest , kurtosis , downtime , computer science , machining , classifier (uml) , decision tree , standard deviation , tool wear , artificial intelligence , cutting tool , data mining , pattern recognition (psychology) , machine learning , statistics , mathematics , engineering , mechanical engineering , operating system

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