Journal ArticleDOI
Application of image and sound analysis techniques to monitor the condition of cutting tools
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TLDR
The results clearly indicate that tool condition monitoring which is defined as the ability to distinguish between a sharp, a semi-dull, or a dull tool can be successfully accomplished by combining sensory data from a CCD camera and a microphone.About:
This article is published in Pattern Recognition Letters.The article was published on 2000-10-01. It has received 101 citations till now. The article focuses on the topics: Tool wear & Microphone.read more
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A review on machinery diagnostics and prognostics implementing condition-based maintenance
TL;DR: This paper attempts to summarise and review the recent research and developments in diagnostics and prognostics of mechanical systems implementing CBM with emphasis on models, algorithms and technologies for data processing and maintenance decision-making.
Journal ArticleDOI
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
A review of flank wear prediction methods for tool condition monitoring in a turning process
Arti Siddhpura,Roshun Paurobally +1 more
TL;DR: A wide variety of monitoring techniques have been developed for the online detection of flank wear in tool condition monitoring system (TCMS) as discussed by the authors, including signal acquisition, signal processing and feature extraction.
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Study on prediction of surface quality in machining process
TL;DR: In this paper, the authors reviewed the methodologies and practice that are being employed for the prediction of surface profile and roughness, each approach with its advantages and disadvantages is summarized.
Journal ArticleDOI
Application of digital image processing in tool condition monitoring: A review
TL;DR: A review of development of digital image processing techniques in tool condition monitoring is discussed, a conclusion is drawn about required systematic research in this field.
References
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Journal ArticleDOI
A theory for multiresolution signal decomposition: the wavelet representation
TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book
Fundamentals of digital image processing
TL;DR: This chapter discusses two Dimensional Systems and Mathematical Preliminaries and their applications in Image Analysis and Computer Vision, as well as image reconstruction from Projections and image enhancement.
Journal ArticleDOI
Universal approximation using radial-basis-function networks
Jooyoung Park,Irwin W. Sandberg +1 more
TL;DR: It is proved thatRBF networks having one hidden layer are capable of universal approximation, and a certain class of RBF networks with the same smoothing factor in each kernel node is broad enough for universal approximation.
Book
Machine vision
TL;DR: This text intentionally omits theories of machine vision that do not have sufficient practical applications at the time, and basic concepts are introduced with only essential mathematical elements.
Journal ArticleDOI
Tool Condition Monitoring (TCM) — The Status of Research and Industrial Application
TL;DR: The use of sensor systems for tool condition monitoring in machining and grinding is becoming more commonplace to enhance productivity as mentioned in this paper, and the motivation and basis for the utilization of these systems in industry, the sensors used in such systems including industrial application, new developments in signal and information processing, sensor based process optimization and control and directions for future developments.