摘要
风电机组主轴轴承在传动系统中发挥着重要的作用,如何对其运行状态进行准确监测是一个重要研究方向。为解决传统以电流/电压为基础调制对象的传感器在复杂电磁环境中稳定性下降问题,通过研究布拉格光纤光栅(FBG)传感器的传感器原理与信号解调方法,提出了一种基于FBG传感器的风电主轴轴承多源物理参数检测系统,可在线采集主轴轴承的重要运行参数如温度与振动数据。试验结果表明:通过与传统传感器采集到的数据进行对比分析,FBG传感器采集的温度与振动数据能够保持相同分布趋势,数据有效,能够为后续的主轴轴承状态监测与故障预警提供数据基础。
The main shaft bearing of wind turbine plays an important role in the transmission system.How to accurately monitor its running state is an important research direction.In order to solve the problem that the stability of the traditional sensor based on current/voltage modulation object decreases in the complex electromagnetic environment,a multi-source physical parameter detection system of wind power spindle bearing based on FBG sensor is proposed by studying the sensor principle and signal demodulation method of FBG sensor,which can collect important operating parameters such as temperature of the spindle bearing online Degree and vibration data.The test results show that the temperature and vibration data collected by FBG sensor can maintain the same distribution trend through comparison and analysis with the data collected by traditional sensors,and the data is effective,which can provide data basis for the subsequent spindle bearing condition monitoring and fault warning.
作者
窦志远
何丽
乔博伟
刘宏刚
王宏伟
DOU Zhiyuan;HE Li;QIAO Bowei;LIU Honggang;WANG Hongwei(College of Intelligent Manufacturing and Modern Industry,Xinjiang University,Urumqi 830046,China)
出处
《机械工程与自动化》
2025年第6期135-139,共5页
Mechanical Engineering & Automation
