Fuzzy characteristics and fuzzy recognition for cutting tool states

Chunguang Xu; Xinyi Wang; Jishou Xing

Fuzzy characteristics and fuzzy recognition for cutting tool states

Chunguang Xu^*
, Xinyi Wang
, Jishou Xing

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

Aim To present the problem of fuzzy characteristics and fuzzy recognition in monitoring cutting tool state. Methods With combination of fuzzy division theory and neural network identification methods, deduction of general expanding theorem upon condition of nonlinear mapping function of artificial neural networks and fuzzy division and inference rules in identifying process were discussed. Results For different cutting loads, corresponding fuzzy inference mechanisms and identification rules were given. Conclusion Examples show the corectness, the reliability and the practicality of the method. A theoretical basis is provided for identifying cutting tools state intelligently.

Original language	English
Pages (from-to)	176-182
Number of pages	7
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	18
Issue number	2
Publication status	Published - 1998
Externally published	Yes

Keywords

Cutting tool states
Fuzzy division
Fuzzy recognition
Inference mechanism

Cite this

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title = "Fuzzy characteristics and fuzzy recognition for cutting tool states",

abstract = "Aim To present the problem of fuzzy characteristics and fuzzy recognition in monitoring cutting tool state. Methods With combination of fuzzy division theory and neural network identification methods, deduction of general expanding theorem upon condition of nonlinear mapping function of artificial neural networks and fuzzy division and inference rules in identifying process were discussed. Results For different cutting loads, corresponding fuzzy inference mechanisms and identification rules were given. Conclusion Examples show the corectness, the reliability and the practicality of the method. A theoretical basis is provided for identifying cutting tools state intelligently.",

keywords = "Cutting tool states, Fuzzy division, Fuzzy recognition, Inference mechanism",

author = "Chunguang Xu and Xinyi Wang and Jishou Xing",

year = "1998",

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publisher = "Beijing Institute of Technology",

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TY - JOUR

T1 - Fuzzy characteristics and fuzzy recognition for cutting tool states

AU - Xu, Chunguang

AU - Wang, Xinyi

AU - Xing, Jishou

PY - 1998

Y1 - 1998

N2 - Aim To present the problem of fuzzy characteristics and fuzzy recognition in monitoring cutting tool state. Methods With combination of fuzzy division theory and neural network identification methods, deduction of general expanding theorem upon condition of nonlinear mapping function of artificial neural networks and fuzzy division and inference rules in identifying process were discussed. Results For different cutting loads, corresponding fuzzy inference mechanisms and identification rules were given. Conclusion Examples show the corectness, the reliability and the practicality of the method. A theoretical basis is provided for identifying cutting tools state intelligently.

AB - Aim To present the problem of fuzzy characteristics and fuzzy recognition in monitoring cutting tool state. Methods With combination of fuzzy division theory and neural network identification methods, deduction of general expanding theorem upon condition of nonlinear mapping function of artificial neural networks and fuzzy division and inference rules in identifying process were discussed. Results For different cutting loads, corresponding fuzzy inference mechanisms and identification rules were given. Conclusion Examples show the corectness, the reliability and the practicality of the method. A theoretical basis is provided for identifying cutting tools state intelligently.

KW - Cutting tool states

KW - Fuzzy division

KW - Fuzzy recognition

KW - Inference mechanism

UR - https://www.scopus.com/pages/publications/71149110304

M3 - Article

AN - SCOPUS:71149110304

SN - 1001-0645

VL - 18

SP - 176

EP - 182

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 2

ER -

Fuzzy characteristics and fuzzy recognition for cutting tool states

Abstract

Keywords

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