A parametric model to identify hydrodynamic bearing wear at a single rotating speed

Abstract For dynamic systems, fault detection and diagnosis involve the observation of vibration signals. Faults associated with hydrodynamic bearings are one most common causes forced shutdowns in rotating machinery. If it is a wear fault, bearing clearance affected changing system characteristics. Therefore, time response machine subjected to worn analysed observe behaviour presence wear. Spectral analysis used understand intact characteristics identify severity. wear, an improved new parametric model generated increase simulation accuracy. The approach indicates severity studied bearings.