A hybrid diagnostic system of main drive of industrial press line

Abstract

Idea of Industry 4.0 indicate 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 as well as program of systematic examinations of asset condition done by maintenance personnel. Using data collected from hand held instruments and from on-line systems is possible to build full image of current asset condition and predict probably faults in the future. This paper presents system of condition monitoring and diagnosing of main drive of industrial press line. The system use 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 the way of system design and its implementation.

Keywords

• diagnostics
• monitoring system
• mcsa
• mfmea
• press drive