国外文献 > 1.轴承 > 3. 材料与制造 > 材料性能
关键词搜索：
| 标 题： |
Automatic detection of corrosion in ball bearings of soft-started induction motors, obtaining the persistence spectrum of the stray-flux signals
自动检测软启动感应电机滚动轴承的腐蚀情况，获取漏磁信号的持续谱 |
| 作 者： |
Vicente Biot-Monterde
Jose Antonino-Daviu
Angela Navarro-Navarro
Roque A. Osornio-Rios
Israel Zamudio-Ramirez
Jose E. Ruiz-Sarrio |
| 关键词： |
Induction motors [感应电动机]
Fault diagnosis [ 故障诊断]
Stray-flux [ 游离电场]
Convolutional neural networks [ 卷积神经网络]
Persistence spectrum [ 持续谱]
Bearings [ 轴承]
Corrosion [ 腐蚀] |
| 出版年： |
2023 |
| 文集名： |
14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2023)
第14届IEEE国际电机、电力电子与驱动诊断研讨会（SDEMPED 2023） |
| 会议名： |
14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2023)
第14届IEEE国际电机、电力电子与驱动诊断研讨会（SDEMPED 2023） |
| 届 次： |
14th |
| 摘 要： |
This work, presents a novel method to automatically detect and classify the presence of corrosion in ball bearings of soft-started induction motors. The method relies, first, in obtaining the persistence spectrum images of the part of the stray-flux signals in which the soft-starter is in operation. Then, those images are used as input for a convolutional neural network, which automatically differentiates not only between healthy or faulty bearings, but also between different levels of corrosion in the ball bearings. For the study, a soft-starter of a well-known brand is used to start an induction motor, setting different combinations of the variable parameters of that device. Also, different levels of load are applied to the motor. The proposed method proves its potential, achieving a high accuracy.
本研究提出了一种新颖的方法，用于自动检测和分类软启动感应电机滚动轴承中的腐蚀情况。该方法首先获取软启动器运行期间的漏磁信号部分的持久性频谱图像，然后将这些图像作为卷积神经网络的输入，使其不仅能自动区分正常与故障轴承，还能识别轴承不同等级的腐蚀程度。在实验中，使用了某知名品牌软启动器来启动感应电机，并对设备的可变参数进行了不同组合设置，同时施加了不同负载水平。所提出的方案验证了其潜力，实现了较高的准确率。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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