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Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties

Sukhomay Pal, P. Stephan Heyns, Burkhard H. Freyer, Nico J. Theron, Surjya K. Pal
2009 Journal of Intelligent Manufacturing  
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

Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam, Fuat Kara
2022 Advances in Materials Science and Engineering  
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

Graham Naylor, Jens Holger Rindel
1992 Journal of the Acoustical Society of America  
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

Graham Naylor
1992 Journal of the Acoustical Society of America  
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

Cato Bjelland, Leif Bjo/rno/
1992 Journal of the Acoustical Society of America  
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

Besenyő János
2018 Figshare  
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

M.V. Kircanski
Proceedings of the 1994 IEEE International Conference on Robotics and Automation  
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

Jorge Camacho, Luis Medina, Jorge F. Cruza, José M. Moreno, Carlos Fritsch
2012 Archives of Acoustics  
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

Navid Zarif Karimi
2018
[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

Nico Schuler
2001 Computer Music Journal  
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

Ramin Moghaddass
2013
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

Dragiša Tolmač, Slawomir Kurpaska, Miroslav Lambić, Uroš Karadžić, Valentina Balas, Aurel Vlaicu, Mirko Soković, Zlatko Lacković, Macedonia, Bojan Podgornik
unpublished
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