Analysis of the Tool Condition Monitoring System Using Fuzzy Logic and Signal Processing

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
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"Analysis of the Tool Condition Monitoring System Using Fuzzy Logic and Signal Processing"
written by Chidambaram Ramesh Kannan, Palani Padmanabhan,
published by Circuits and Systems, Vol.7 No.9, 2016

has been cited by the following article(s):

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[9]	Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production
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[2]	Influence of tool geometry on tool wear in turning of EN24 steel by using GRA and RSM THE 8TH ANNUAL INTERNATIONAL SEMINAR ON TRENDS IN SCIENCE AND SCIENCE EDUCATION (AISTSSE) 2021, 2022 DOI:10.1063/5.0108238

[3]	An accurate cutting tool wear prediction method under different cutting conditions based on continual learning Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022 DOI:10.1177/0954405421993694

[4]	Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production Sustainability, 2017 DOI:10.3390/su9060923

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