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Research on the safety assessment of the brushless DC motor based on the gray model:

机译：基于灰色模型的无刷直流电动机安全评估研究：

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The brushless DC motor experiences operating safety problems due to the deterioration of its components following long-term operations, which are easily overlooked. To resolve these problems, failure mode, effects, and criticality analysis is utilized to characterize potential hazards in the motors. Hilbert–Huang transform is then employed to obtain the frequency-domain energy values of the vibration signals, which is defined as characteristic values that represent the performance degradation state. Second, gray model is selected to analyze the frequency-domain energy values and establish differential equations to predict the future vibration status, thereby achieving the vibration-based fault prediction. Furthermore, a gray safety assessment model is proposed to implement the safety assessment for the motor. The fault prediction and gray safety assessment are carried out based on historical data obtained from the brushless DC motor vibration experiment. The accuracy level of the gray model predictions is...
机译：无刷直流电动机经历了由于其组件在长期操作之后的恶化而经历了操作安全问题，这很容易被忽视。为了解决这些问题，失败模式，效果和临界分析用于表征电机的潜在危险。然后采用Hilbert-Huang变换来获得振动信号的频域能量值，该振动信号被定义为代表性能劣化状态的特征值。其次，选择灰色模型来分析频域能量值并建立微分方程以预测未来的振动状态，从而实现基于振动的故障预测。此外，提出了一种灰色安全评估模型来实施电机的安全评估。基于从无刷直流电动机振动实验获得的历史数据进行故障预测和灰色安全评估。灰色模型预测的准确度水平是......

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