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.
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Measurement
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Influence of Contamination of Gear Oils in Relation to Time of Operation on Their Lubricity
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Evaluation of Machinery Readiness Using Semi-Markov Processes
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Image Reconstruction in Ultrasound Reflection Tomography using Quick High-Resolution Method
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Transport
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Model and simulation analysis for the reliability of the transportation network
Hongyan Dui, Xiaoqian Zheng, Liwei Chen, Zhujun Wang
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Journal of Simulation
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Some remarks about Boundary Element Method application of second-order versus zero-order to Diffuse Optical Tomography
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Journal of Physics: Conference Series
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31.
Tool wear condition monitoring in milling process based on data fusion enhanced long short-term memory network under different cutting
conditions
Guoxiao Zheng, Weifang Sun, Hao Zhang, Yuqing Zhou, Chen Gao
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Measurement
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Image reconstruction in electrical impedance tomography using a reconfigurable FPGA system
T Rymarczyk, A Kosior, P Tchórzewski, A Vejar
Journal of Physics: Conference Series
T Rymarczyk, A Kosior, P Tchórzewski, A Vejar
Journal of Physics: Conference Series
34.
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Edward Kozłowski, Anna Borucka, Yiliu Liu, Dariusz Mazurkiewicz
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Maria Rosienkiewicz
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Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight
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Integrating advanced measurement and signal processing for reliability decision-making
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David Valis, Marie Forbelská, Zdeněk Vintr
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Application of the logistic regression for determining transition probability matrix of operating states in the transport systems
Edward Kozłowski, Anna Borucka, Andrzej Świderski
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Edward Kozłowski, Anna Borucka, Andrzej Świderski
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Application of the Teager-Kaiser energy operator in diagnostics of a hydrodynamic bearing
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