승강기용 권상기의 결함에 따른 진동의 스펙트럼 분석

Abstract

The main maintenance method within the elevator industry is one of preventive maintenance. This method can cause the inherent danger of sudden breakdowns of machinery despite regular maintenance. At the same time, this method causes excess costs due to unnecessary parts replacement and extra check-ups.

On the other hand, predictive maintenance, which diagnoses the condition of the mechanical system by measuring the vibration within the machinery, can be much more economical. This type of maintenance is aimed at predicting malfunctions and discovering the cause of the malfunctions. A typical way is to measure and analyze the spectrum of the vibrations in defective elevator traction machinery. This type of analysis is then expected to prevent future faults beforehand by clarifying the fundamental causes behind the faults.

The research uses figures on the following: mass unbalance, bent shaft, gear fault, bearing fault and resonance. These are indicative of the qualities of vibrations within operating rotational machine. Another option is to analyze the characteristics of vibrations within defective elevator traction machinery.

So, through the analysis of the characteristics of vibration in defective traction machinery, some efforts have been made to change the focus within maintenance from preventive maintenance to predictive maintenance.