Open AccessOn-line Tool Wear Detection on DCMT070204 Carbide Tool Tip Based on Noise Cutting Audio Signal using Artificial Neural Network
Author(s) -
Teguh Prasetyo,
Said Amar,
Anis Arendra,
M K Zam Zami
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/953/1/012144
Subject(s) - signal (programming language) , artificial neural network , microphone , computer science , audio signal , tool wear , sampling (signal processing) , noise (video) , artificial intelligence , time domain , matlab , signal processing , feature (linguistics) , feature extraction , acoustics , pattern recognition (psychology) , engineering , speech recognition , computer vision , machining , digital signal processing , filter (signal processing) , computer hardware , mechanical engineering , philosophy , image (mathematics) , linguistics , operating system , telecommunications , speech coding , programming language , physics , sound pressure