RESEARCH PAPER
Assessment model of cutting tool condition for real-time supervision system
1
Lublin University of Technology Faculty of Management ul. Nadbystrzycka 38, 20-618 Lublin, Poland
2
Lublin University of Technology Mechanical Engineering Faculty ul. Nadbystrzycka 38, 20-618 Lublin, Poland
3
Rzeszów University of Technology Faculty of Mechanical Engineering and Aeronautics Al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland
Publication date: 2019-12-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(4):679-685
KEYWORDS
ABSTRACT
Further development of manufacturing technology, in particular machining requires the search for new innovative technological solutions. This applies in particular to the advanced processing of measurement data from diagnostic and
monitoring systems. The increasing amount of data collected by the embedded measurement systems requires development of effective analytical tools to efficiently transform the data into knowledge and implement autonomous machine
tools of the future. This issue is of particular importance to assess the condition of the tool and predict its durability,
which are crucial for reliability and quality of the manufacturing process. Therefore, a mathematical model was developed to enable effective, real-time classification of the cutting blade status. The model was verified based on real
measurement data from an industrial machine tool.
REFERENCES (31)
1.
Altman D G, Bland J M. Diagnostic tests 1: sensitivity and specificity. British Medical Journal 1994; 308: 1552, https://doi.org/10.1136/bmj.30....
2.
Altman D G, Bland J M. Diagnostic tests 2: predictive values. British Medical Journal 1994; 309: 102, https://doi.org/10.1136/bmj.30....
3.
Arrazola P J, Özel T, Umbrello D, Davies M, Jawahir I S. Recent advances in modelling of metal machining processes. CIRP Annals 2013;62(2): 695-718, https://doi.org/10.1016/j.cirp....
4.
Balakrishnan N. Handbook of the Logistic Distribution. Marcel Dekker, Inc., 1991, https://doi.org/10.1201/978148....
5.
Cheng Q, Sun B, Zhao Y, Gu P. A method to analyze the machining accuracy reliability sensitivity of machine tools based on Fast Markov Chain simulation. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2016; 18 (4): 552-564, http://dx.doi.org/10.17531/ein....
6.
de Jonge B. Maintenance Optimization based on Mathematical Modeling. University of Groningen 2017.
7.
Fawcett T. An Introduction to ROC Analysis. Pattern Recognition Letters 2006; 27(8): 861-874, https://doi.org/10.1016/j.patr....
8.
Fox J, Weisberg S. An R companion to applied regression. SAGE Publications, Inc., 2019.
9.
Freedman D A. Statistical Models: Theory And Practice. Cambridge University Press, 2009, https://doi.org/10.1017/CBO978....
10.
Goyal D, Pabla B S. The Vibration Monitoring Methods and Signal Processing Techniques for Structural Health Monitoring: A Review. Archives of Computational Methods in Engineering 2016; 23(4): 585-594, https://doi.org/10.1007/s11831....
12.
Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning. Springer-Verlag, New York Inc., 2009, https://doi.org/10.1007/978-0-....
13.
James G, Witten D, Hastie T, Tibshirani R. An Introduction to Statistical Learning. Springer-Verlag GmbH, 2013, https://doi.org/10.1007/978-1-....
14.
Jasiulewicz-Kaczmarek M, Żywica P. The concept of maintenance sustainability performance assessment by integrating balanced scorecard with non-additive fuzzy integral. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (4): 650-661, https://doi.org/10.17531/ein.2....
15.
Jasiulewicz-Kaczmarek M. Identification of maintenance factors influencing the development of sustainable production processes-a pilot study, IOP Conf. Series: Materials Science and Engineering 2018; 400: 062014, https://doi.org/10.1088/1757-8....
16.
Jayal A D, Badurdeen F, Dillon O W, Jawahir I S. Sustainable manufacturing: Modeling and optimization challenges at the product, process and system levels. CIRP Journal of Manufacturing Science and Technology 2010; 2(3): 144-152, https://doi.org/10.1016/j.cirp....
17.
Kant G, Sangwan K S. Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining. Journal of Cleaner Production 2014; 83: 151-164. https://doi.org/10.1016/j.jcle....
18.
Kosicka E, Kozłowski E, Mazurkiewicz D. The use of stationary tests for analysis of monitored residual processes. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17 (4): 604-609, https://doi.org/10.17531/ein.2....
19.
Kosicka E, Mazurkiewicz D, Gola A. - Multi-criteria decision support in maintenance of machine part. Innowacje w Zarządzaniu i Inżynierii Produkcji, monografia pod red. Ryszarda Knosali, Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole 2016, tom II: 584-593.
20.
Kosicka E., Kozłowski E., Mazurkiewicz D. - Intelligent Systems of Forecasting the Failure of Machinery Park and Supporting Fulfilment of Orders of Spare Parts. In book: Intelligent Systems in Production Engineering and Maintenance - ISPEM 2017, Edition: Advances in Intelligent Systems and Computing vol. 637. Publisher: Springer International Publishing, Editors: Anna Burduk, Dariusz Mazurkiewicz, pp. 54-63, https://doi.org/10.1007/978-3-....
21.
Kozłowski E. Analiza i identyfikacja szeregów czasowych Politechnika Lubelska 2015.
22.
Lee J, Bagheri B, Kao H-A. A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters 2015; 3: 18-23, https://doi.org/10.1016/j.mfgl....
23.
Leturiondo U, Salgado O, Ciani L, Galar D, Catelani M. Architecture for hybrid modelling and its application to diagnosis and prognosis with missing data. Measurement 2017; 108: 152-162, https://doi.org/10.1016/j.meas....
24.
Rymarczyk T, Kozłowski E, Kłosowski G. - Electrical impedance tomography in 3D flood embankments testing - elastic net approach. Transactions of the Institute of Measurement and Control 2019; https://doi.org/10.1177/014233....
25.
Rymarczyk T, Nita P, Vejar A, Stefaniak B, Sikora J. - Electrical tomography system for Innovative Imaging and Signal Analysis. Przegląd Elektrotechniczny 2019; 95(6): 133-136, https://doi.org/10.15199/48.20....
26.
Rymarczyk T., Kłosowski G., Kozłowski E., Tchórzewski P. - Comparison of Selected Machine Learning Algorithms for Industrial Electrical Tomography. Sensors 2019; 9(7):1521, https://doi.org/10.3390/s19071....
28.
Valis D, Mazurkiewicz D, Forbelska M. Modelling of a Transport Belt Degradation Using State Space Model. In: Proceedings of the 2017 IEEE International Conference on Industrial Engineering & Engineering Management. Singapore: IEEE 2017: 949-953, https://doi.org/10.1109/IEEM.2....
29.
Valis D, Mazurkiewicz D. Application of selected Levy processes for degradation modelling of long range mine belt using real-time data. Archives of Civil and Mechanical Engineering 2018; 18: 1430-1440, https://doi.org/10.1016/j.acme....
30.
Weremczuk A, Borowiec M, Rudzik M, Rusinek R. Stable and unstable milling process for nickel superalloy as observed by recurrence plots and multiscale entropy. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20 (2): 318-326, https://doi.org/10.17531/ein.2....
31.
Żabiński, T., Mączka, T., Kluska, J. Industrial Platform for Rapid Prototyping of Intelligent Diagnostic Systems. In W. Mitkowski, J. Kacprzyk, K. Oprzędkiewicz, P. Skruch (Eds.), Trends in Advanced Intelligent Control, Optimization and Automation. Polish Control Conference, Kraków, Poland 2017: 712-721, https://doi.org/10.1007/978-3-....
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Principal component analysis of measured data for ultrasound transmission tomography
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| eISSN: | 2956-3860 |
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