摘要
为研究风力发电机组齿轮箱故障的诊断方法,提高其工作的可靠性,将BP算法寻优具有精确性与遗传算法全局寻优的优点相结合,提出一种新的BP神经网训练算法。通过算法比较和实例分析表明,该算法在风力发电机组齿轮箱故障诊断领域具有良好的实用性。
To study the fault diagnosis and increase the work reliability of the gear box of wind turbine, a combining algorithm for neural network training is formed by combining BP algorithm and genetic algorithm in the process of fault diagnosis of gear box. According to the characteristics of genetic algorithm and BP algorithm, we have firstly brought forward a new algorithm for fault diagnosis to combine the genetic algorithm with BP neural network. The experiment results prove that this algorithm is practical in the field of faults diagnosis by comparing the two algorithms and analyzing the results of real examples.
出处
《华北电力技术》
CAS
2010年第7期6-11,共6页
North China Electric Power
基金
国家自然科学基金项目编号:50767003
自治区教育厅科研资助项目编号:XJEDU2007I05
