Journal ArticleDOI
Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network
R. J. Kuo,P. H. Cohen +1 more
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The results show that the proposed system can significantly increase the accuracy of the product profile and is able to learn from the experience.About:
This article is published in Neural Networks.The article was published on 1999-03-01. It has received 89 citations till now. The article focuses on the topics: Neuro-fuzzy & Radial basis function network.read more
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Advanced monitoring of machining operations
TL;DR: In this paper, the past contributions of CIRP in these areas are reviewed and an up-to-date comprehensive survey of sensor technologies, signal processing, and decision making strategies for process monitoring is provided.
Journal ArticleDOI
Big Data in product lifecycle management
TL;DR: The existing applications of “Big Data” in PLM are summarized, and the potential applications of the concept and techniques can be employed in manufacturing to enhance the intelligence and efficiency of design, production, and service process.
Journal ArticleDOI
On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research
TL;DR: In this paper, the authors compared 138 publications dealing with on-line and indirect tool wear monitoring in turning by means of artificial neural networks and compared the methods applied in these publications as well as the methodologies used to select certain methods, to carry out simulation experiments, to evaluate and to present results.
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A review of machining monitoring systems based on artificial intelligence process models
TL;DR: In this paper, the authors present a generic view of machining monitoring systems and facilitate their implementation, and present six key issues involved in the development of intelligent machining systems: (1) the different sensor systems applied to monitor machining processes, (2) the most effective signal processing techniques, (3) most frequent sensory features applied in modelling machining process, (4) the sensory feature selection and extraction methods for using relevant sensory information, (5) the design of experiments required to model a machining operation with the minimum amount of experimental data and (6) the
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The concept and progress of intelligent spindles: A review
TL;DR: An in-depth review of the state-of-the-art of related technologies for intelligent spindles is provided, followed by descriptions of required characteristics, key enabling technologies and expected intelligent functions.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI
An introduction to computing with neural nets
TL;DR: This paper provides an introduction to the field of artificial neural nets by reviewing six important neural net models that can be used for pattern classification and exploring how some existing classification and clustering algorithms can be performed using simple neuron-like components.
Journal ArticleDOI
Fuzzy logic in control systems: fuzzy logic controller. II
TL;DR: The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined and several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated.
Journal Article
Fuzzy logic in control systems : fuzzy logic controller. Part II
TL;DR: The fuzzy logic controller (FLC) based on fuzzy logic provides a means of converting a linguistic control strategy based on expert knowledge into an automatic control strategy.
Journal ArticleDOI
Fast learning in networks of locally-tuned processing units
John Moody,Christian J. Darken +1 more
TL;DR: This work proposes a network architecture which uses a single internal layer of locally-tuned processing units to learn both classification tasks and real-valued function approximations (Moody and Darken 1988).