Actual Problems in Machine Building 2018 Vol. 5 No. 1-2

Actual Problems in Machine Building. Vol. 5. N 1-2. 2018 Technological Equipment, Machining Attachments and Instruments ____________________________________________________________________ 92 Список литературы 1. Jantunen E. A summary of methods applied to tool condition monitoring in drilling // International Journal of Machine Tools & Manufacture. – 2002. – Vol. 42. – P. 997–1010. 2. Ромашев А.Н., Марков А.М. Анализ состояния вопросов мониторинга и диагностирования режущего инструмента в процессе обработки // Инновации в машиностроении (ИнМаш-2015): сборниктрудовVII международной научно-практической конференции, Кемерово, 23–25 сентября 2015 г. – Кемерово, 2015. – С. 153–158. 3. Sensorless tool failure monitoring system for drilling machines / L.A. Franco-Gasca, G. Herrera-Ruiz, R. Peniche-Vera, R.d.J. Romero-Troncoso, W. Leal-Tafolla // International Journal of Machine Tools & Manufacture. – 2006. – Vol. 46. – P. 381–386. 4. Bradley C., Wong Y.S. Surface texture indicators of tool wear – a machine vision approach // The International Journal of Advanced Manufacturing Technology. – 2001. – Vol. 17. – P. 435–443. 5. Kerr D., Pengilley J., Garwood R. Assessment and visualisation of machine tool wear using computer vision // The International Journal of Advanced Manufacturing Technology. – 2006. – Vol. 28. – P. 781–791. 6. Chen X., Li B. Acoustic emission method for tool condition monitoring based on wavelet analysis // The International Journal of Advanced Manufacturing Technology. – 2006. – Vol. 33. 7. Kurada S., Bradley C. A review of machine vision sensors for tool condition monitoring // Computers in Industry. – 1997. – Vol. 34. – P. 55–72. 8. Sortino M. Application of statistical filtering for optical detection of tool wear // International Journal of Machine Tools & Manufacture. – 2003. – Vol. 43. – P. 493–497. DATA PROCESSING METHODS IN MONITORING AND DIAGNOSIS OF CUTTING TOOL Ovcharenko A.G D.Sc. (Engineering), Professor, e-mail: shura@bti.secna.ru Romashev A.N., Ph.D. (Engineering), Associate Professor, e-mail: alniro@yandex.ru Smirnov V.V ., Ph.D. (Engineering), Associate Professor, e-mail: v2s0@yandex.ru Firsov A.M ., Ph.D. (Engineering), Associate Professor, e-mail: fam5417@yandex.ru Biysk Technological Institute, Branch of Polzunov Altai State Technical University, 27 Trofimova str., Biysk, 659305, Russian Federation Abstract Development and improvement of systems for monitoring the condition and diagnosis of cutting tool is of increasing importance. The work describes a number of possible diagnostic symptoms characterizing the State of the cutting tools. Conducted a brief overview of data processing methods allowed to conclude the most common methods of processing the data received. Keywords condition monitoring and diagnostics of the cutting tool, criteria for status and failure criteria, methods of signal processing tool