A COMPARATIVE STUDY OF FEATURE SELECTION FOR HIDDEN MARKOV MODEL-BASED MICRO-MILLING TOOL WEAR MONITORING-Reference-Cited by-同舟云学术

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A COMPARATIVE STUDY OF FEATURE SELECTION FOR HIDDEN MARKOV MODEL-BASED MICRO-MILLING TOOL WEAR MONITORING

Published:2008-09-11 Issue:3 Volume:12 Page:348-369
ISSN:1091-0344
Container-title:Machining Science and Technology
language:en
Short-container-title:Machining Science and Technology

Author:

Zhu K. P.,Hong G. S.,Wong Y. S.

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,General Materials Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/10910340802293769

Reference42 articles.

1. SENSORLESS DETECTION OF TOOL BREAKAGE IN MILLING

2. HMMs for diagnostics and prognostics in machining processes

3. Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)

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