Implementation of Automatic Identification Technology in a Process of Fixture Assembly/Disassembly

Ostojić, Gordana; Stankovski, Stevan; Vukelić, Djordje; Lazarević, Milovan; Hodolič, Janko; Tadić, Branko; Odri, S.

doi:10.5545/sv-jme.2010.131

Cited by 16 publications

(9 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is crucial to select the appropriate filter bank that is able to efficiently extract the information on the presence of mentioned lines, for each frequency bend. The most promising [14,16] for the mentioned tasks are response spatially invariant filter banks, i.e., filter banks based on the Maximum Response filter set such as (BFS, MR8, MR4, and MRS4). Those are previously reported and discussed in material classification tasks [12,13].…”

Section: Forming the Texton Based Descriptorsmentioning

confidence: 99%

“…We briefly describe the filter that we use: Let and also of 18 Laplacians of Gaussians, defined as ∆G(σ x , σ y , θ, x, y). Term ∆= ∂ x 2 + ∂ y 2 is the Laplace operator of differentiation, evaluated at the same orientations and scales (for more details see [14], [15] Here,T is predefined width of the patch. We note, that the interval [y q−1, y q ] of the textured image F, corresponds to the frequency band [ω q−1 , ω q ] of the STDFT spectrogram of the particular utterance.…”

Section: Ijiemmentioning

confidence: 99%

“…Thus, the core of in our approach is the selection of the appropriate filter bank that is able to efficiently extract the information on the presence of mentioned lines, for each frequency band. In this paper, we apply the particular filter bank, proposed in [14], used in the problems of texture recognition, which has the mentioned capability. We apply it on 2D texture patches, obtained from the STDFT of the vibration sensor signal, in order to efficiently extract the information concerning the mentioned lines, in the form of textons, i.e.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Tool Condition Monitoring System Based on a Texture Descriptors

Antić¹,

Zeljković²,

Kuric³

2018

IJIEM

View full text Add to dashboard Cite

All state-of-the-art Tool condition Monitoring systems (TCM), especially those that use vibration sensors, in the tool wear recognition task, heavily depend on the choice of descriptors that contain information concerning the tool wear state, which are extracted from the particular sensor signals. All other postprocessing techniques do not manage to increase the recognition precision if those descriptors are not discriminative enough. In this work, we propose toll wear monitoring strategy, which relies on the novel texture based descriptors. We consider the module of the Short Term Discrete Furrier Transform (STDFT) spectra obtained from the particular vibration sensors signal utterance, as the 2D textured image. This is done by identifying the time scale of STDFT as the first dimension, and the frequency scale as the second dimension of the particular textured image. The obtained textured image is then divided into particular 2D texture patches, covering part of the frequency range of interest. After applying the appropriate filter bank, for each predefined frequency band 2D textons are extracted. From those, for each band of interest, by averaging in time, we extract information regarding the Probability Density Function (PDF) of those textons in the form of lower order moments, thus obtaining the robust tool wear state descriptors. We validate the proposed features by the experiments conducted on the real TCM system, obtaining the high recognition accuracy. ApstraktSvi savremeni sistemi sistemi za nadzor alata, posebno oni koji koriste senzore vibracije u zadatku prepoznavanja habanja alata, u velikoj meri zavise od izbora obeležja, izdvojenih iz određenih senzorskih signala, a koji sadrže informacije o stanju habanja alata. Većina primenjenih tehnika postprocesiranja ne uspeva povećati preciznost prepoznavanja ako ta obeležja nisu dovoljno diskriminativna. U ovom radu predlažemo strategiju nadzora habanja, koja se oslanja na izdvajanje novih obeležja baziranih na teksturi. Posmatran je segment kratkotrajnih diskretnih Furieovih transformacija (STDFT) spektara vibracija, kao 2D teksture slike, dobijen od konkretnog senzorskog signala.Aco Antić et al. 175IJIEM Radi se identifikaciji vremenske skale STDFT kao prve dimenzije i skale frekvencije kao druga dimenzije definisane teksture slike. Dobijena tekstura slike se zatim deli na određene 2D segmente teksture, pokrivajući deo frekventnog opsega od interesa. Nakon primene odgovarajuće banke filtra, za svaki prethodno definisani frekventni opseg izdvajaju se 2D tekstoni. Dobijeni tekstoni, u posmatranom prosečnom vremenu, izdvajaju informacije o funkciji gustine verovatnoće (PDF) tih tekstona u obliku statističkih momenata nižeg reda, čime se dobijaju robusni deskriptori stanja habanja alata. Potvrda rada sistema sa predloženim obeležja je u realnim uslovima. Dobijeni rezultati daju visoku tačnost prepoznavanja.Ključne reči: habanje alata, teksturni deskriptori, vibracioni signal

show abstract

Section: Forming the Texton Based Descriptorsmentioning

confidence: 99%

Section: Ijiemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Tool Condition Monitoring System Based on a Texture Descriptors

Antić¹,

Zeljković²,

Kuric³

2018

IJIEM

View full text Add to dashboard Cite

show abstract

“…Based on past research [1], it is clear that there are significant reserves in the production process organization. The optimization can be carried out in the following ways:  scheduling the production operations in time scale [5][6][7][8], which is the most common approach in practice,  improvement of the production process at the level of the operation's execution [3,[9][10][11][12][13] and  special approaches to improve production effectiveness [14][15][16][17][18].…”

Section: Virtual Factory and Virtual Productionmentioning

confidence: 99%

Virtual Factory as an Advanced Approach for Production Process Optimization

Debevec¹,

Šimić²,

Herakovič³

2014

Int. j. simul. model.

View full text Add to dashboard Cite

This paper demonstrates a new methodology for designing a virtual factory model and model execution on the basis of a real schedule plan. The main characteristic of the developed method is that the inputs are regarded as one of the main parameters of the production process, and the main objective is to create a low-cost production process model. The methodology is adjusted for use in SMEs (Small and Medium-Sized Enterprises) with individual or unique type of production. For such companies, the method represents an ability to optimize existing production processes through detecting and eliminating possible errors and disturbances before the real production process is executed at an acceptable cost. The applicability and suitability of the developed method for virtual production performance has been proven with the verification process, where the input data for the simulation was obtained from a real company. The simulation results have shown that the presented methodology is a useful tool for the optimization of the production process.

show abstract

“…Optimization of fixture layout is a critical aspect of machining fixture design, defining the types, number, and material of fixture elements, and their position relative to workpiece [4]. Most frequently, goal function was minimization elastic workpiece deformation, minimization deformation at workpiece-fixture contact points, minimization clamping forces, minimization workpiece location errors (improve the location accuracy), minimization vibration during machining, etc.…”

Section: Introductionmentioning

confidence: 99%

Fixture Layout Design Based on a Single-Surface Clamping with Local Deformation

Tadić¹,

Todorovič²,

Novkinic³

2015

Int. j. simul. model.

View full text Add to dashboard Cite

Proposed in this paper is a novel approach to fixture layout design. The contact interface between workpiece and fixture is reduced to a single workpiece surface. This allows reliable machining of the remaining five workpiece surfaces in a single setup. Workpiece clamping is performed by inserting special elements into prepared auxiliary openings on the workpiece. Clamping is thus reduced to indenting of sharp clamping element tips into the workpiece surface. Shallow indenting is performed on surfaces which have no practical function. Special device was designed to allow experimental investigation. Experimental results point towards the efficiency of the proposed approach. Workpiece displacements were small during machining and allowed the required machining accuracy. Furthermore, the results obtained during machining indicate high surface quality.

show abstract

Implementation of Automatic Identification Technology in a Process of Fixture Assembly/Disassembly

Cited by 16 publications

References 21 publications

Tool Condition Monitoring System Based on a Texture Descriptors

Tool Condition Monitoring System Based on a Texture Descriptors

Virtual Factory as an Advanced Approach for Production Process Optimization

Fixture Layout Design Based on a Single-Surface Clamping with Local Deformation

Contact Info

Product

Resources

About