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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Application of the logistic regression for determining transition probability matrix of operating states in the transport systems
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