For bearing condition monitoring, commonly used measuring points on the casing suffer from low signal-to-noise ratios and strong interference. These issues are expected to be addressed through embedded wireless sensors. To tackle the challenges faced by wireless sensor nodes in terms of energy supply and to enhance their intelligence level, this paper proposes a self-powered smart bearing pedestal with ultrasensitive sensing capabilities. The proposed bearing pedestal features a segmented arrangement of piezoelectric stacks integrated into the structure, utilizing the varying contact load generated by rolling elements. To evaluate the operating characteristics of the smart bearing pedestal, an electromechanical coupling dynamic model is developed, upon which dynamic analysis is carried out for both healthy and faulty bearings. Subsequently, a smart bearing pedestal prototype is manufactured and rotor tests are conducted to further investigate the performance of the proposed smart bearing pedestal. It is observed that the test data aligns well with the simulation results. The smart bearing pedestal has condition monitoring and fault detecting capabilities of high sensitivity, allowing it to sense bearing rotational speed and identify faults of different bearing components, as well as localize the defects on the outer ring. Additionally, it exhibits excellent power supply performance, with a quite low internal resistance of approximately 100 Ω, and is capable of generating an electrical output of 525.9 μW at the rotating speed of 1800 rpm. This research provides a new solution for smart bearing support systems, contributing to intelligent sensing in rotating machinery.

中文翻译：

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具有故障定位能力的超灵敏自供电智能轴承座

对于轴承状态监测，外壳上常用的测量点信噪比低且干扰强。这些问题有望通过嵌入式无线传感器来解决。为解决无线传感器节点在能源供应方面面临的挑战，提升其智能化水平，该文提出一种具有超灵敏传感能力的自供电智能轴承座。拟议的轴承基座的特点是，压电堆栈的分段布置集成到结构中，利用滚动体产生的不同接触载荷。为了评估智能轴承座的工作特性，开发了一个机电耦合动力学模型，在该模型上对健康和故障轴承进行动态分析。随后，制造智能轴承座原型并进行转子测试，以进一步研究所提出的智能轴承座的性能。据观察，测试数据与仿真结果非常吻合。智能轴承座具有高灵敏度的状态监测和故障检测能力，能够感知轴承转速并识别不同轴承部件的故障，以及定位外圈上的缺陷。此外，它还具有出色的电源性能，具有约 100 Ω的相当低的内阻，并且能够在 1800 rpm 的转速下产生 525.9 μW 的电输出。本研究为智能轴承支撑系统提供了一种新的解决方案，有助于旋转机械中的智能传感。