基于光纤传感器的电机故障诊断系统设计

Design of motor fault diagnosis system based on optical fiber sensor

针对当前电机故障诊断系统易受到电磁的干扰,存在诊断误差大的问题,设计了基于光纤光感器的电机故障诊断系统,系统主要包括光纤传感器采集,数模转换模块、主微控制单元模块和锁相环模块,采用光纤传感器采集模块采集电机的电压和电流等物理信号后,利用数模转换模块将物理信号转换成数字信号;通过主微控制单元模块实时监控电机运行状态,采用锁相环模块跟踪锁定电机频率,降低电子故障诊断误差,系统软件设计了系统应用程序,并采用频谱分析法诊断电机故障。实验结果表明,本文系统的平均实时能耗短,诊断结果平均误差低,诊断性能优于对比系统,这说明本语言系统诊断电机故障时具有稳定性高、误差低、能耗低的优势。

Aiming at the problem that the current motor fault diagnosis system is susceptible to electromagnetic in terference and has large diagnostic error, a motor fault diagnosis system based on optical fiber sensor is designed. The system mainly includes optical fiber sensor acquisition module, A/D conversion module, main MCU module and phase -locked loop module. After collecting the physical signals such as voltage and current of the motor through the optical fiber sensor acquisition module, the physical signals are converted into digital signals by A/D conversion module. The main MCU module controller is used to monitor the running state of the motor in real time, and the phase-locked loop module is used to track the frequency of the locked motor and reduce the error of electronic fault diagnosis. The system software is designed and the frequency spectrum analysis method is used to diagnose the motor fault. The experimental results show that the average real-time energy consumption of the system is short, the average error of diagnosis results is low, and the diagnostic performance is better than that of the comparative system. It shows that the language system has the advantages of high stability, low error and low energy consumption when diagnosing motor faults.