드릴 마모 모니터링을 위한 간접측정신호의 퓨젼과 인공신경망 분석/

Title
드릴 마모 모니터링을 위한 간접측정신호의 퓨젼과 인공신경망 분석/
Authors
프라솝차이차
Keywords
Neural Network
Issue Date
2008
Publisher
인하대학교
Abstract
The objective of this study is to produce a sensor fusion system based on neural network and wavelet transform for tool-condition monitoring (TCM) that will lead to a more efficient and economical drill usage. Drill-wear monitoring has an important attrib
Description
Chapter 1 Introduction 1 1.1 General Background and Motivation 1 1.2 Objectives of the Study 3 1.3 Scope of the Study 4 Chapter 2 Theoretical Background and Literature Review 5 2.1 Tool Life 5 2.1.1 Tool Wear 5 2.1.2 Stages of Tool Wear 7 2.1.3
URI
http://dspace.inha.ac.kr/handle/10505/10556
Appears in Collections:
College of Engineering(공과대학) > Mechanical Engineering(기계공학) > Theses(기계공학 석박사 학위논문)
Files in This Item:
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