Open AccessComparative Study on Tool Fault Diagnosis Methods Using Vibration Signals and Cutting Force Signals by Machine Learning Technique
Author(s) -
Suhas S. Aralikatti,
K. N. Ravikumar,
Hemantha Kumar,
H. Shivananda Nayaka,
V. Sugumaran
Publication year - 2020
Publication title -
structural durability and health monitoring
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.271
H-Index - 12
eISSN - 1930-2991
pISSN - 1930-2983
DOI - 10.32604/sdhm.2020.07595
Subject(s) - machining , artificial intelligence , vibration , machine tool , cutting tool , wavelet , computer science , tool wear , fault (geology) , machine learning , naive bayes classifier , decision tree , engineering , pattern recognition (psychology) , mechanical engineering , acoustics , support vector machine , geology , physics , seismology
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