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Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties
2009
Journal of Intelligent Manufacturing
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This paper presents a neural network based sensor fusion model for a tool wear monitoring system in turning operations. ...
A wavelet packet tree approach was used for the analysis of the acquired signals, namely cutting strains in tool holder and motor current, and the extraction of wear-sensitive features. ...
Various kinds of ANNs, such as Multilayer Perceptron (MLP), Recurrent Neural Network, Learning Vector Quantization, Time Delay Neural Network, Adaptive Resonance Theory, Self-Organizing Map, Radial Basis ...
doi:10.1007/s10845-009-0310-x
fatcat:3hqvuo54djhqlllflmotbxy2na
A Review on Machine Learning Models in Injection Molding Machines
2022
Advances in Materials Science and Engineering
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This review briefly explains working on machine learning and artificial neural network and optimizing injection molding in industries. ...
In recent research, many critical issues in applying machine learning and neural network in injection molding in practical have been addressed. ...
wear for the drilling process were used in developing the newly proposed architecture Depth layer sizes, training time, and testing time Model structure with 1 hidden layer, where 7 neurons in the layer ...
doi:10.1155/2022/1949061
fatcat:lzi6kpqmdzcdrbr4tagwggdtp4
Predicting room acoustical behavior with the ODEON computer model
1992
Journal of the Acoustical Society of America
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Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related ...
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A. ...
The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network. ...
doi:10.1121/1.404931
fatcat:z4hbezklfzgu7hyy7qvos3wyo4
Treatment of early and late reflections in a hybrid computer model for room acoustics
1992
Journal of the Acoustical Society of America
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Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related ...
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A. ...
The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network. ...
doi:10.1121/1.404930
fatcat:xeehcxepjvhuzmnaeudpqxtnvu
Modeling and experiments with low‐frequency pressure wave propagation in liquid‐filled, flexible tubes
1992
Journal of the Acoustical Society of America
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Gilkey (AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573 and Wright State Univ., Dayton, OH 45435) An artificial neural network was trained to identify the location of sound sources using the head-related ...
An artificial neural network model of human sound localization. T. R. Anderson (Armstrong Lab., AL/CFBA, Wright-Patterson AFB, Dayton, OH 45433-6573), J. A. ...
The method uses an observing neural network called a meta-neural network (MNN) to direct the training of a conventional word-to-action mapping neural network. ...
doi:10.1121/1.404777
fatcat:xhmwz65h5bbqxbt52khae2rq7q
War at the Background of Europe: The Crisis of Mali
2018
Figshare
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Donor countries often use aid economies as a dump for their obsolete technology. Opportunities inherent in aid economies to facilitate the development of globalization remain unexploited. ...
Some neural network approchaes like the Learning Vector Quantization (LVQ) method (Kohonen, 1995) could be used for this reason. ...
Soft computing methods like genetic algorithms can be incorporated in path planning, also neural networks and fuzzy-systems have been widely used for this task (Li, Yang, Seto, 2009) . ...
doi:10.6084/m9.figshare.7015283.v1
fatcat:dcgz7gzczff6tnyse3gmu2dz6i
Robotic isotropy and optimal robot design of planar manipulators
Proceedings of the 1994 IEEE International Conference on Robotics and Automation
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Flank wear and crater wear. ...
Linear predictive model for speech recognition, Vector quantization, Auditory based Spectral analysis model. ...
and cordless networks.
1. ...
doi:10.1109/robot.1994.351213
dblp:conf/icra/Kircanski94
fatcat:uawqnzropbgivcanzqihtimt2m
Multimodal Ultrasonic Imaging for Breast Cancer Detection
2012
Archives of Acoustics
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Ultrasound is used for breast cancer detection as a technique complementary to mammography, the standard screening method. ...
In spite of their advantages, these factors have precluded the use of ultrasound for screening. This work approaches the ultrasound-based early detection of breast cancer with a different concept. ...
neural networks. ...
doi:10.2478/v10168-012-0033-4
fatcat:fhhbdferdfaqxcbedyoljfvtxi
Analysis of drilling of composite laminates
2018
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[134] used neural network techniques on AE signals to characterize damage of carbon/carbon laminates. ...
They used the modified learning vector quantization (M-LVQ) technique which is suitable for types of AE data emitted by composites. Bar et al. ...
Calculate reduced stiffness matrix H¤ for each material used in the laminate (if a laminate uses only one type of composite material, there will be only one stiffness matrix). ...
doi:10.6092/unibo/amsdottorato/8503
fatcat:p2ysc3pn25h2bptbxqkkb2kf7i
Daniel R. Raichel: The Science and Applications of Acoustics
2001
Computer Music Journal
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Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. ...
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they ...
Filter Networks. ...
doi:10.1162/comj.2001.25.4.92
fatcat:o3u27vcdpbbdtaqanqrerx2tii
Equipment Degradation Diagnostics and Prognostics Under a Multistate Deterioration Process
2013
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This thesis also proposes an unsupervised learning process, which can be used to estimate the characteristic parameters of the degradation and observation processes. ...
Finally, it introduces a condition-based replacement policy that can be used as an online tool to determine when to replace a degraded device under condition monitoring. ...
In [50], HMM and neural network methods are used to estimate the current level of tool wear as a diagnostic measure. ...
doi:10.7939/r3pc2tm13
fatcat:ldlzx24pe5he7n4w35q2gbrt34
Departments of Mechanical engineering and General Technical Sciences, at Technical Faculty "Mihajlo Pupin
unpublished
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Carry on the fuzzy inference operations using relation generation rule based on Mamdani fuzzy algorithm and new inference synthesis rule in accordance with the above three tables of the fuzzy rules. ...
ACKNOWLEDGEMENTS The results presented in this paper are part of the research project "Development and improvement of technologies for energy-efficient use of multiple forms of agricultural and forest ...
ADVANCED TOOLS AND METHODOLOGIES Some maintenance research uses advanced tools and methodologies which havefound wide applications in other fields such as fuzzy logic, neural network, the Kalman filter ...
fatcat:m6g5aowfjngtnaqexmljlsc7ym