摘要
为了提高风电机组的可靠性、高效率及风电机组的寿命,基于LabVIEW平台设计了风电机组的状态监测与故障预示系统。系统对风电机组运行实时采集的振动信号进行时域和频域分析,获取能描述风电机组的运行状态和故障严重程度的特征信息,给出将来可能发生的故障预示以及相应的维护建议,从而改善风电机组的运行效率和使用寿命。该系统对于降低风电机组的故障率以及减少因故障带来的经济损失具有重要的意义。
In order to improve the reliability and efficiency of the wind turbine,the condition monitoring and fault prediction system of the wind turbine based on the LabVIEW platform is designed. In the system,vibration signal analysis system of wind turbine operation in real-time acquisition is implemented,the time domain and frequency domain analysis are complied,and the feature information of running status or failure degree of the wind turbine is obtained. The system indicates the possible failure in the future,and provides s maintenance information in a timely manner,so as to optimize the operation and working life of the wind turbine. The system is of great significance for the safe operation and economic benefit of the wind turbine.
出处
《装备制造技术》
2017年第6期67-69,84,共4页
Equipment Manufacturing Technology
基金
苏州科技大学科研基金项目(XKZ201408)
江苏省本科生创新训练计划项目(201510332054X)
