Multi-sensor integration using neural networks for predicting quality characteristics of end-milled parts: part I--individual effects of training parameters
AC Okafor, O Adetona - Applications of Artificial Neural …, 1994 - spiedigitallibrary.org
This paper presents a systematic evaluation of the individual effects of training parameters:
learning rate, momentum rate, number of hidden layer nodes, and processing element's …
learning rate, momentum rate, number of hidden layer nodes, and processing element's …
Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: Individual effects of learning parameters and rules
A Chukwujekwu Okafor, O Adetona - Journal of Intelligent Manufacturing, 1995 - Springer
Artificial neural networks have been shown to have a lot of potential as a means of
integrating multi-sensor signals for real-time monitoring of machining processes. However …
integrating multi-sensor signals for real-time monitoring of machining processes. However …
Multi-sensor integration using neural networks for predicting quality characteristics of end-milled parts. Part 2: Interaction effects in training parameters
AC Okafor, O Adetona - 1994 - osti.gov
Artificial neural networks have been shown to have a lot of potential as a means of
integrating multi-sensor signals for in-process real time monitoring of machining processes …
integrating multi-sensor signals for in-process real time monitoring of machining processes …
Multi-sensor integration using neural networks for predicting quality characteristics of end-milled parts: effects of training parameters and learning rules
O Adetona - 1994 - scholarsmine.mst.edu
Abstract" The current intense international and domestic market competition has forced
manufacturers to look towards the automation of manufacturing systems as a means of …
manufacturers to look towards the automation of manufacturing systems as a means of …
Automatic tool state identification in a metal turning operation using MLP neural networks and multivariate process parameters
DE Dimla Jr, PM Lister, NJ Leighton - International Journal of Machine …, 1998 - Elsevier
This paper describes results of the application of feed-forward Multi-Layer Perceptron (MLP)
neural networks for cutting tool state identification in a metal turning operation. Test cuts …
neural networks for cutting tool state identification in a metal turning operation. Test cuts …
Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to a neural network
K Jemielniak, L Kwiatkowski, PŁ Wrzosek - Journal of Intelligent …, 1998 - Springer
Cutting forces and acoustic emission measures as a function of tool wear are presented for
different cutting parameters and their applicability for tool condition monitoring is evaluated …
different cutting parameters and their applicability for tool condition monitoring is evaluated …
Tool condition monitoring in milling based on cutting forces by a neural network
Automated machining systems require reliable online monitoring processes. The application
of a multilayered neural network for tool condition monitoring in face milling is introduced …
of a multilayered neural network for tool condition monitoring in face milling is introduced …
A multi-sensor integration method of signals in a metal cutting operation via application of multi-layer perceptron neural networks
DE Dimia, PM Lister, NJ Leighton - 1997 - IET
The potential application of neural networks in manufacturing scenarios is increasingly
becoming feasible. Typical of such manufacturing scenario is the integration of metal cutting …
becoming feasible. Typical of such manufacturing scenario is the integration of metal cutting …
A step towards intelligent manufacturing: Modelling and monitoring of manufacturing processes through artificial neural networks
L Monostori, J Prohaszka - CIRP annals, 1993 - Elsevier
In the paper different approaches are described for applying artificial neural network
techniques for modelling and monitoring of machining processes (turning, milling) by sensor …
techniques for modelling and monitoring of machining processes (turning, milling) by sensor …
Neural network applications in on-line monitoring of a turning process
G Zhang, RG Khanchustambham - Neural Networks In Design And …, 1993 - World Scientific
The need to improve quality and reduce scrap rate while increasing the production rate is
motivating industry to consider untended machining as a viable alternative. On-line …
motivating industry to consider untended machining as a viable alternative. On-line …
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