Journal ArticleDOI
Tool failure diagnosis in milling using a neural network
Y.S. Tarng,S.T. Hwang,Y.W. Hseih +2 more
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TLDR
In this paper, a multi-layer feed-forward neural network with the back-propagation algorithm is introduced for processing the characteristic patterns of the cutting force signal in milling operations.About:
This article is published in Mechanical Systems and Signal Processing.The article was published on 1994-01-01. It has received 9 citations till now. The article focuses on the topics: Machining.read more
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Journal ArticleDOI
A neutral-network approach for the on-line monitoring of the electrical discharge machining process
J.Y Kao,Y.S. Tarng +1 more
TL;DR: In this paper, a feed-forward neural network is used to on-line monitor electrical discharge machining (EDM) processes, based on the neural network through the back-propagation learning algorithm.
Journal ArticleDOI
Prediction of tool breakage in face milling using support vector machine
Yao-Wen Hsueh,Chan-Yun Yang +1 more
TL;DR: In this paper, a support vector machine (SVM) was used to classify the feature of the cutting force signal for the prediction of tool breakage in face milling, which can be used to identify a milling cutter with or without tool breakages.
Journal ArticleDOI
Tool breakage diagnosis in face milling by support vector machine
Yao-Wen Hsueh,Chan-Yun Yang +1 more
TL;DR: In this paper, a support vector machine (SVM) is used to detect tool breakage in a wide range of face-milling operations, and the SVM can respond in real-time to automatically diagnose tool fracture under varying cutting conditions.
Peer ReviewDOI
A systematic review of artificial intelligence in the detection of cutting tool breakage in machining operations
Journal ArticleDOI
Detection of Structural Damage in Medium Density Fiberboard Panels using Neural Network Method
Way Long,Robert W. Rice +1 more
TL;DR: In this paper, the authors used a neural network to detect low levels of damage in small samples of medium density fiberboard (MDF) using a three-layer back-propagation network.
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