Studyimg methods for controlling the condition of milling machines based on the analysis of vibration characteristics 

Evgeny S. Yanov, Candidate of engineering sciences, deputy director, Tula Engineering School “Intelligent Defense Systems” named after Academician A.G. Shipunov, Tula State University (92 Lenina avenue, Tula, Russia), E-mail: es.yanov@mail.ru
Stanislav V. Antonychev, Director general “Energopromservis” LLC (app. 168, 46 Izyumskaya street, Moscow, Russia), E-mail: 25111976@list.ru
Aleksandr V. Antsev, Doctor of engineering sciences, associate professor, head of the sub-department of mechanical engineering and materials science, Tula State University (92 Lenina avenue, Tula, Russia), E-mail: a.antsev@yandex.ru
Mikhail S. Vorotilin, Doctor of engineering sciences, professor, vice-rector for research, Tula State University (92 Lenina avenue, Tula, Russia) 
Evgeny I. Minakov, Doctor of engineering sciences, professor, professor of the sub-department of radio electronics, Tula State University (92 Lenina avenue, Tula, Russia), E-mail: eminakov@bk.ru

Background. In the context of sanctions pressure, the issue of production intensification has again become relevant. Increasing production efficiency through the introduction of new technologies is no longer just a global trend, but one of the conditions for survival, while digitalization as one of the main drivers of growth and development plays a crucial role here. The purpose of the study is to substantiate the option of a rational location for the vibration sensor of the diagnostic module of the information and measuring system for monitoring technological systems. Results. Using the example of the BRIDGEPORT milling machine (model Hardinge GX 600) an option for forming a "vibration passport" is proposed based on the recorded vibrodynamic characteristics during machine operation, the analysis of which made it possible to determine the location of the vibration sensor.

information and measuring system, vibration sensor, vibration passport, vibration diagnostics, milling machine

Yanov E.S., Antonychev S.V., Antsev A.V., Vorotilin M.S., Minakov E.I. Studying methods for controlling the condition of milling machines based on the analysis of vibration characteristics. Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki = University proceedings. Volga region. Engineering sciences. 2024;(3):157–166. (In Russ.). doi: 10.21685/2072-3059-2024-3-14