Application of embedded condition monitoring systems in pallet industry

Abstract

The goal of the predictive condition monitoring of planetary power transmissions in pellet mills is to indicate deterioration in the condition of the power transmissions before the actual failure occurs. In many cases, the defect does not cause an immediate interruption of the process. If this is the case, the defective part can be replaced or repaired during normal, scheduled maintenance periods, provided that the defect has been found in a sufficiently early stage. The most common causes of failure of rotary machines are faults in bearings, the stator and the rotor. There are many methods for the predictive condition monitoring of rotary machines. The analysis can be based on different measured quantities.These include, for example, temperature, current, magnetic flux density and vibration. The basic design idea is to create a measurement and data collection system for condition monitoring in which the data analyses and decision-making are based on fuzzy logic programming. In this paper, a low-cost optimal micro configuration for measurement and condition monitoring of data collection system of pellet mills power transmission is presented. The system is based on PIC (Programmable Interface Controller) microcontrollers and represents the complete solution for condition monitoring regarding vibration, temperature and rpm measurement. The microcontroller based system also has an integrated function with control application based on fuzzy logic.

Analyzing of micro-electro-mechanical systems (MEMS) sensor for pumping aggregates

“…We have the sensors of acceleration, velocity and displacement. The principle of a vibration sensor function is the motion of seismic matter of mass m toward an object of mass M whose vibrations are measured (Milovančević et al , 2017b; Milovančević et al , 2017a; Milovančević et al , 2015).…”

Vibration prediction of pellet mills power transmission by artificial neural network

“…Based on the literature overview, one can conclude that there is gap in the vibration monitoring of the pellet mills systems in regard to application of advances control techniques. However, this study is based on articles Milovančević et al (2017, 2015 and 2010), where the embedded condition monitoring systems of power transmission of a pellet mill was developed, and the main contribution of the study should be developed advanced prediction technique for condition monitoring.…”

“…Vibration monitoring is a method of technical diagnostics which could be used for monitoring of a technical state of a device by observing the level of a mechanical oscillation in a real time (Milovančević et al , 2017, 2015, 2010). Systems failures could be detected by the vibration diagnostics (Centobelli et al , 2015; Yang et al , 2013).…”