Monitoring the Condition of CNC Machine Tools
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toring the Condition of CNC Machine Tools A. K. Tugengol’da, *, R. N. Voloshina, **, V. P. Dimitrova, ***, L. V. Borisovaa, ****, and A. R. Yusupova, ***** a
Don State Technical University, Rostov-on-Don, Russia *e-mail: [email protected] **e-mail: [email protected] ***e-mail: [email protected] ****e-mail: [email protected] *****e-mail: [email protected]
Received September 10, 2019; revised September 11, 2019; accepted September 13, 2019
Abstract—Maintenance of CNC machine tools in an operative condition is considered. Attention focuses on the appropriate monitoring and control systems. The structure of the required control system and the corresponding control functions are presented. The starting point is to mount a module containing sensors of various types, including vibroacoustic sensors, on each machine tool. The machine tools’ proximity to a critical state is assessed by means of neural networks, fuzzy inference, and expert evaluation of the risk factors. Keywords: machine tools, operational condition, control, monitoring, sensor module, critical states, risk priorities DOI: 10.3103/S1068798X2009021X
In computerized industrial production, equipment must be automatically maintained in working condition, without interruptions. Improved reliability of machine tools calls for effective maintenance of the performance of individual machine tools and the department as a whole. In particular, appropriate monitoring and control systems must be introduced. In the past twenty years, PC-based microprocessor systems have permitted automatic monitoring, diagnostics, and information management, in addition to new developments in electronics and signal processing. That expands the prospects for assessing the condition of systems and for fault detection and diagnostics [1, 2]. At present, most faults are detected in their early stages and consequently their impact on productivity may be minimized. Emergencies can be avoided. MAINTAINING MACHINE-TOOL PERFORMANCE In the present work, attention focuses on a monitoring module for CNC machine tools, which forms part of a monitoring and control system maintaining the productivity of industrial departments. This module monitors the state of each machine tool in a production group by means of sensors. Accordingly, the condition of the machine tools and the department may be assessed and disruptions of
operation may be prevented. In the context of the eMind Machine project, monitoring and control will include procedures such as prediction and decision making to maintain productivity of the group of machine tools [3]. The functions of the module for monitoring the condition of machine tools include the following. (1) Diagnostics of the condition of a group of machine tools and the generation of ongoing information for the database regarding the condition of the equipment. (2) Conversion of the information into a knowledge system with the goal of assessing the trends in degradational changes. Knowledge of the trends is necessary in order to take appropriate actions to ensure
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