A hybrid diagnostic system of main drive of industrial press line

Abstract

The idea of Industry 4.0 indicates Condition Based Maintenance (CBM) and Predictive Maintenance (PdM) as fundamental maintenance strategies in modern factories. CBM and PdM could be implemented with use of on-line continuous monitoring and diagnostic systems and also as a program of systematic examinations of asset condition done by maintenance personnel. Using data collected from hand held instruments and from on-line systems it is possible to build full image of current asset condition and predict probable faults in the future. This paper presents system of condition monitoring and diagnosing of main drive of industrial press line. The system uses diagnostic data coming from different sources like vibration, electrical and thermal measurements. Application of different types of data makes the system hybrid and allows improve diagnostic inference process. The article describes how the system is designed and implemented.