Abstract
This work shows the results of the comparative study of characteristic frequencies in terms of Power Spectral Density (PSD) or RMS generated by a blower unit and the SKFNU322 bearing. Data is collected following ISO 10816, using Emonitor software and with speed values in RMS to avoid high and low frequency signal masking. Bearing failure is the main cause of operational shutdown in industrial sites. The difficulty of prediction is the type of breakage and the high number of variables involved. Monitoring and analysing all the variables of the SKFNU322 bearing and those of machine operation for 15 years allowed to develop a new predictive maintenance protocol. This method makes it possible to reduce from 6 control points to one, and to determine which of the 42 variables is the most incidental in the correct operation, so equipment performance and efficiency is improved, contributing to increased economic profitability. The tests were carried out on a 500 kW unit of power and It was shown that the rotation of the equipment itself caused the most generating variable of vibrational energy
Highlights
Bearing failure is one of the most important causes of industrial equipment shutdown, it is estimated that 40% of shutdowns are generated by bearings [28, 42]
To determine the frequency of the ball defect, the so-called rotational frequency will be used, that is, twice the frequency of rotation of the balls or rollers (BSF), produced by the ball hit with both races at every turn (Eq 2): Predictive maintenance is largely based on advances in the processing of vibration signals, through the frequency spectra and the power density spectra generated by these signals
Once the most sensitive variable of the bearing has been identified, it is related to the characteristic frequencies of the SPEED and Blades bearing in their most decisive control positions
Summary
Bearing failure is one of the most important causes of industrial equipment shutdown, it is estimated that 40% of shutdowns are generated by bearings [28, 42]. Finding the breakage moment is the main objective, but the breakage type in the form of a ski curve makes this very difficult, because the transition from the third to the fourth stage takes place in a brief period of time involving corrective actions [18, 27]. Another problem is the number of fault types [22].
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