Predictive maintenance with vibration analysis: the key to industrial optimization

Abstract

Predictive maintenance is a crucial strategy for industrial asset management, focused on anticipating equipment and machinery failures. Vibration analysis is one of the most effective techniques within this discipline, as it allows anomalies in rotating and reciprocating components to be detected before they cause catastrophic failure. This article explores the methodology, benefits, and applications of vibration analysis in predictive maintenance, demonstrating how this technique contributes to cost reduction, improved safety, and optimized productivity. The basic principles of vibration analysis, the tools used, and their impact on the transition to Industry 4.0 are reviewed.