Abstract

An important stage of optimization and development of enterprises is to increase the reliability of equipment during operation. Frequent need for repair of grinding equipment in the building materials industry entails long downtimes. The main objectives of the optimization stage are: determining the main factors influencing the occurrence of malfunctions and establishing rational modes of equipment operation. To assess the operational potential of the equipment, the probability of failure-free operation, reducing the time of repair downtime and increasing the service life between repairs, it is necessary to predict the residual service life of the equipment based on the method of approximating the change in the parameters of its technical condition during operation. For this purpose, there is an algorithm for the functioning of the monitoring and control system for the technical condition of parts and assemblies of ball tube mills, which allows estimating the parameters with an error of 9%. Only when a given set of factors is fulfilled is it possible to predict the residual service life. Step-by-step collection of information on the dependence of direct and indirect parameters of the technical condition of the mill, a training experiment and alternative approaches are necessary for statistical processing of the obtained data, determining the parameters of the distribution function and estimating the confidence probability with a minimum sample size from the general population. When conducting periodic monitoring of the technical condition indicators of the journal of the support unit, it is necessary to take into account the errors of the measuring instruments, the method of performing the research, etc.

Full Text

Published Version

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.