Värähtelyanalyysiä

Värähtelyanalyysiä, often translated as vibration analysis, is a diagnostic technique used to detect and analyze the condition of rotating machinery. It involves measuring the vibrations produced by a machine and interpreting these vibrations to identify potential problems. The underlying principle is that machinery defects, such as imbalance, misalignment, bearing wear, or gear damage, generate distinct vibration patterns. By monitoring these patterns over time, engineers can predict equipment failures before they occur, allowing for scheduled maintenance and preventing costly breakdowns.

The process typically involves using accelerometers or velocity sensors to capture vibration data from key components of the machine. This data is then processed and analyzed using specialized software. Common analysis techniques include time-domain analysis, frequency-domain analysis (using Fast Fourier Transform or FFT), and envelope analysis. Each technique highlights different aspects of the vibration signal, helping to pinpoint the source and nature of the fault.

Vibration analysis is widely applied in various industries, including manufacturing, power generation, oil and gas, and transportation. Its benefits include increased equipment reliability, reduced maintenance costs, improved safety, and extended machinery lifespan. Early detection of issues through vibration analysis is a cornerstone of predictive maintenance strategies, moving away from reactive or time-based maintenance.