värinätutkimus

Värinätutkimus, known in English as vibration analysis, is a predictive maintenance technique used to detect and diagnose faults in rotating machinery. It involves measuring and analyzing the vibrations produced by equipment such as motors, pumps, gearboxes, and turbines. These vibrations are typically caused by mechanical imbalances, misalignments, bearing defects, gear wear, or other operational issues.

The fundamental principle behind värinätutkimus is that as mechanical components degrade or experience problems, they generate unique vibration patterns. By using specialized sensors, such as accelerometers, these vibrations are captured. The data is then processed and analyzed using various techniques, including frequency analysis, time-domain analysis, and spectral analysis. This analysis helps to identify the specific type of fault, its severity, and its location within the machinery.

Early detection of issues through vibration analysis allows maintenance personnel to schedule repairs before catastrophic failures occur. This proactive approach minimizes unplanned downtime, reduces repair costs, extends the lifespan of equipment, and improves overall operational efficiency and safety. Värinätutkimus is a crucial component of modern industrial maintenance programs, contributing significantly to asset management and reliability.