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

中文翻译：

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在单一转速下识别流体动力轴承磨损的参数模型

摘要 对于动态系统，故障检测和诊断涉及对振动信号的观察。与流体动力轴承相关的故障是旋转机械强制停机的最常见原因之一。如果是磨损故障，轴承间隙会受到影响，从而改变旋转系统的特性。因此，分析了承受磨损的流体动力轴承的旋转机器的时间响应，以观察轴承磨损时的振动行为。频谱分析用于了解完整和磨损的轴承特性并确定磨损严重程度。对于磨损，生成改进的新参数模型以提高模拟精度。新方法表明所研究的流体动力轴承磨损的严重程度。