Development of a System for Remote Condition Monitoring of Industrial Machines and Defect Locating

Abstract

The article is devoted to development of a system for remote condition monitoring of industrial machines and defect locating. Modern methods of diagnostics and condition monitoring are discussed. It is analyzed how Industrial Internet of Things influence on diagnostics. It gives a number of advantages that are discussed in the Paper. Authors develop an online automatic system of condition monitoring. Structure of this system is presented. Also development of structure of a monitoring unit of the system is provided. Authors suggest using the methods of condition monitoring using strain gauge analysis that they have developed previously. Algorithm of aggregating of data and anomalies defecting for defect control is presented.