基于SVDI的低功耗自供电机械设备故障检测方法

Fault Detection Method for Low-power Self-powered Mechanical Equipment Based on SVDI

异常的温度变化和振动都会导致低功耗自供电机械设备故障,为了提高设备运行的安全性和稳定性,提出了基于奇异值分解插值(SVDI)的低功耗自供电机械设备故障检测方法。利用改进后的小波去噪方法对低功耗自供电机械设备的运行信号做去噪处理,采用SVDI算法提取机械设备运行信号的特征,构建低功耗自供电机械设备的故障状态集合,将机械设备运行信号特征与故障状态集合中存在的故障对比,完成低功耗自供电机械设备故障检测。实验结果表明,所提方法的信号质量高、检测性能好且错分代价低,保障了低功耗自供电机械设备的稳定运行。

Abnormal temperature change and vibration will lead to the failure of low-power self-powered mechanical equipment.In order to improve the safety and stability of equipment operation, a fault detection method of low-power self-powered mechanical equipment based on singular value decomposition interpolation(SVDI) is proposed.The improved wavelet denoising method is used to denoise the operation signal of low-power self-powered mechanical equipment.The SVDI algorithm is used to extract the characteristics of the operation signal of mechanical equipment, construct the fault state set of low-power self-powered mechanical equipment, compare the characteristics of the operation signal of mechanical equipment with the faults in the fault state set and complete the fault detection of low-power self-powered mechanical equipment.The experimental results show that the proposed method has high signal quality, good detection performance and low misclassification cost, and ensures the stable operation of low-power self-powered mechanical equipment.