A new approach for systematic design of condition monitoring systems for milling processes

被引：51

作者：

Al-Habaibeh, A ^{[1
]}

Gindy, N ^{[1
]}

机构：

[1] Univ Nottingham, Rapid Response Aerosp Mfg Grp, Div Mfg Engn & Operat Management, Nottingham NG7 2RD, England

来源：

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY | 2000年 / 107卷 / 1-3期

关键词：

condition monitoring; sensory fusion; Taguchi's orthogonal arrays; neural networks; end milling; fuzzy logic;

D O I：

10.1016/S0924-0136(00)00718-4

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper outlines an approach, termed ASPS (automated sensory and signal processing selection system), aimed at aiding the systematic design of condition monitoring systems for machine tools and machining operations. The work is based on utilising Taguchi's orthogonal arrays to design an experimental programme for investigating the number and type of sensors and signal processing methods most appropriate for the detection of fault conditions for milling processes. Cutting tool condition is selected in this work as an application of the proposed approach. The goal is to reduce the number of sensors needed to detect cutter deterioration and reduce the cost and time required for developing and optimising the design of the condition monitoring system for machining operations. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：243 / 251

页数：9

共 16 条

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