Monitoring of multioperational machines based on the concept of e-Mind Machine

The concept of e-Mind Machine, a system that monitors the status of multioperational machines, is considered. The existing international and domestic monitoring systems, as well as the essential aspects of monitoring specifying e-Mind Machine features are analyzed. The structure of the e-Mind Machine module organization is presented. The need for converting test data into a knowledge system when the perspective monitoring systems operate at the multioperational machines is justified. Benefits of the forecasting methods application are determined. New concepts such as fuzzy boundary of operability/reliability and fuzzy boundary of parametric uptime are introduced. It is shown that the use of the intelligent control opens up fresh opportunities for the monitoring automation. The application of the e-Mind Machine module as an onboard intelligent system maximizes the part-processing efficiency and reliability in combination with the machine self-service.