Giraudo Luca, Di Maggio Luigi Gianpio, Giorio Lorenzo, Delprete Cristiana
Dipartimento di Ingegneria Meccanica e Aerospaziale (DIMEAS), Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Torino, Italy.
Sensors (Basel). 2025 Apr 11;25(8):2419. doi: 10.3390/s25082419.
Early fault detection in rotating machinery is crucial for optimizing maintenance and minimizing downtime costs, especially in medium-to-large-scale industrial applications. This study presents a multibody model developed in the Simulink Simscape environment to simulate the dynamic behavior of medium-sized spherical bearings. The model includes descriptions of the six degrees of freedoms of each subcomponent, and was validated by comparison with experimental measurements acquired on a test rig capable of applying heavy radial loads. The results show a good fit between experimental and simulated signals in terms of identifying characteristic fault frequencies, which highlights the model's ability to reproduce vibrations induced by localized defects on the inner and outer races. Amplitude differences can be attributed to simplifications such as neglected housing compliancies and lubrication effects, and do not alter the model's effectiveness in detecting fault signatures. In conclusion, the developed model represents a promising tool for generating useful datasets for training diagnostic and prognostic algorithms, thereby contributing to the improvement of predictive maintenance strategies in industrial settings. Despite some amplitude discrepancies, the model proves useful for generating fault data and supporting condition monitoring strategies for industrial machinery.
旋转机械的早期故障检测对于优化维护和最小化停机成本至关重要，尤其是在中大型工业应用中。本研究提出了一个在Simulink Simscape环境中开发的多体模型，用于模拟中型球形轴承的动态行为。该模型包括每个子部件的六个自由度的描述，并通过与在能够施加重径向载荷的试验台上获得的实验测量结果进行比较来验证。结果表明，在识别特征故障频率方面，实验信号与模拟信号吻合良好，这突出了该模型再现内、外滚道局部缺陷引起的振动的能力。振幅差异可归因于诸如忽略轴承座柔顺性和润滑效果等简化因素，并且不会改变模型在检测故障特征方面的有效性。总之，所开发的模型是一个很有前景的工具，可用于生成有用的数据集来训练诊断和预测算法，从而有助于改进工业环境中的预测性维护策略。尽管存在一些振幅差异，但该模型被证明对于生成故障数据和支持工业机械的状态监测策略是有用的。
