BROWSE

Related Researcher

Author's Photo

Jung, Mooyoung
Ulsan National Institute of Science and Technology
Research Interests
  • Manufacturing Systems Engineering
  • Energy Management System - Applications of Fractal Concept

ITEM VIEW & DOWNLOAD

ONLINE MONITORING OF TOOL BREAKAGE IN FACE MILLING USING A SELF-ORGANIZED NEURAL-NETWORK

Cited 17 times inthomson ciCited 26 times inthomson ci
Title
ONLINE MONITORING OF TOOL BREAKAGE IN FACE MILLING USING A SELF-ORGANIZED NEURAL-NETWORK
Author
KO, TJCHO, DWJung, Mooyoung
Keywords
Adaptive Signal Processing; Feature; Milling Process; Self-Organized Neural Network; Tool Breakage
Issue Date
1995
Publisher
ELSEVIER SCI LTD
Citation
JOURNAL OF MANUFACTURING SYSTEMS, v.14, no.2, pp.80 - 90
Abstract
This study introduces a new tool breakage monitoring methodology consisting of an unsupervised neural network combined with an adaptive time-series modeling algorithm. Cutting force signals are modeled by a discrete autoregressive model in which parameters are estimated recursively at each sampling instant using a parameter-adaptation algorithm based on a recursive least square. The experiment shows that monitoring the evolution of autoregressive parameters during milling is effective for detecting tool breakage. An adaptive resonance network based on Grossberg's adaptive resonance theory (ART 2) is employed for clustering tool states using model parameters, and this network has unsupervised learning capability. This system subsequently operates successfully with a fast monitoring time in a wide range of cutting conditions without a priori knowledge of the cutting process.
URI
Go to Link
DOI
10.1016/0278-6125(95)98889-E
ISSN
0278-6125
Appears in Collections:
SBA_Journal Papers
Files in This Item:
A1995RB47600002.pdf Download

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU