Many of today’s industrial applications are powered by electromechanical drives. Wind turbines, fuel based and hydroelectric generators or electric drivetrains are examples of these applications. Developing accurate models of these systems has attracted a significant interest in recent years, because it can help enormously to enhance their reliability and develop efficient maintenance strategies to avoid prominent failure modes. In this paper, motor–gearbox systems are investigated in their both mechanical and electrical aspects. An electrical model of an induction machine is coupled with a lumped parameter model of a two-stage gear system to build an integrated model of these systems. The coupling between these sub-models is realized in a way that allows to consider transient regimes. Furthermore, an improved potential energy method is used to determine the mesh stiffness of gear pairs considering actual gear shapes and an original method is proposed to refine stiffness curves based on the correlation measure with experimental measurements. The developed model is validated under varying operating conditions using vibration and electrical measurements and simulation results were in good agreement with experiment. Moreover, the model was investigated for the detection of gear tooth faults using both vibration and motor current signature analysis in time and frequency domains, the model response under faulty condition was satisfactory compared with the observed response.

当今的许多工业应用都由机电驱动器提供动力。风力涡轮机、基于燃料的和水力发电机或电力传动系统是这些应用的示例。近年来，开发这些系统的准确模型引起了极大的兴趣，因为它可以极大地帮助提高其可靠性并制定有效的维护策略以避免突出的故障模式。在本文中，电机-齿轮箱系统从机械和电气方面进行了研究。感应电机的电气模型与两级齿轮系统的集总参数模型相结合，以构建这些系统的集成模型。这些子模型之间的耦合以允许考虑瞬态状态的方式实现。此外，考虑到实际齿轮形状，使用改进的势能方法确定齿轮副的啮合刚度，并提出了一种基于相关测量与实验测量的原始方法来细化刚度曲线。开发的模型在不同的操作条件下使用振动和电气测量进行了验证，模拟结果与实验非常吻合。此外，该模型在时域和频域中使用振动和电机电流特征分析来检测齿轮齿故障，与观察到的响应相比，模型在故障条件下的响应令人满意。