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An intelligent condition monitoring system for on-line classification of machine tool wear

Abstract

The development of intelligent tool condition monitoring systems is a necessary requirement for successful automation of manufacturing processes. This presentation introduces a tool wear monitoring system for milling operations. The system utilizes power, force, acoustic emission and vibration sensors to monitor tool condition comprehensively. Features relevant to tool wear are drawn from time and frequency domain signals and a fuzzy pattern recognition technique is applied to combine the multisensor information and provide reliable classification results of tool wear states. (orig.) 10 refs.
Authors:
Pan, Fu; Hope, A D; Javed, M [1] 
  1. Systems Engineering Faculty, Southampton Institute (United Kingdom)
Publication Date:
Dec 31, 1997
Product Type:
Conference
Report Number:
VTT-SYMP-172(v.2); CONF-9706228-
Reference Number:
SCA: 360103; PA: FI-97:003819; EDB-98:074483; SN: 98001889804
Resource Relation:
Conference: 10. international congress and exhibition on condition monitoring and diagnostic engineering management, Espoo (Finland), 9-11 Jun 1997; Other Information: PBD: 1997; Related Information: Is Part Of COMADEM `97; Jantunen, E.; Holmberg, K. [RTB Van Heugten, Nijmegen (Netherlands)] Rao, R.B.K.N. [Stork Thermeq, Hengelo (Netherlands)]; PB: 603 p.
Subject:
36 MATERIALS SCIENCE; WEAR; NONDESTRUCTIVE TESTING; MILLING MACHINES; IN-SERVICE INSPECTION; PATTERN RECOGNITION; FUZZY LOGIC
OSTI ID:
626295
Research Organizations:
Technical Research Centre of Finland, Espoo (Finland)
Country of Origin:
Finland
Language:
English
Other Identifying Numbers:
Other: ON: DE98718977; ISBN 951-38-4563-X; TRN: FI9703819
Availability:
OSTI as DE98718977
Submitting Site:
FI
Size:
pp. 490-504
Announcement Date:
Jul 31, 1998

Citation Formats

Pan, Fu, Hope, A D, and Javed, M. An intelligent condition monitoring system for on-line classification of machine tool wear. Finland: N. p., 1997. Web.
Pan, Fu, Hope, A D, & Javed, M. An intelligent condition monitoring system for on-line classification of machine tool wear. Finland.
Pan, Fu, Hope, A D, and Javed, M. 1997. "An intelligent condition monitoring system for on-line classification of machine tool wear." Finland.
@misc{etde_626295,
title = {An intelligent condition monitoring system for on-line classification of machine tool wear}
author = {Pan, Fu, Hope, A D, and Javed, M}
abstractNote = {The development of intelligent tool condition monitoring systems is a necessary requirement for successful automation of manufacturing processes. This presentation introduces a tool wear monitoring system for milling operations. The system utilizes power, force, acoustic emission and vibration sensors to monitor tool condition comprehensively. Features relevant to tool wear are drawn from time and frequency domain signals and a fuzzy pattern recognition technique is applied to combine the multisensor information and provide reliable classification results of tool wear states. (orig.) 10 refs.}
place = {Finland}
year = {1997}
month = {Dec}
}