基于信号流图的风力发电机故障诊断

针对风力发电机故障原因复杂,为解决其诊断困难问题。本文利用风力发电机电力系统中故障高发区的故障诊断经验知识,建立了风力发电机多信号流图模型。通过感应器获取实时检测信号数据并作为输入,并结合贝叶斯后验概率算法实现自动化的风力发电机故障诊断。根据风力发电机实时数据诊断表明,该方法能准确诊断出故障源,是一种十分有效的实时故障诊断方法。

Fault Diagnosis of Wind Turbine Generator Based on Signal Flow Graph

According to the Wind turbine generator complex reasons for the faults, in order to solve the difficulty of its diagnosis, A fault diagnosis of method based on signal flow graph is proposed. Modeling signal flow graph of wind turbine generator, considered the system in the high incidence of faults experience and knowledge of diagnosis, is to prepared. And then it can find the fault location though the result from inductors and the most possibility of the case is to be sorted by Bayesian posterior probability algorithm. Simulation results show that that this method can realize the high efficient diagnosis for faults location.