摘要
本文提出了一种水轮发电机组轴心轨迹自动识别方法。这种方法根据水轮发电机组的特点 ,综合应用了小波去噪理论、平面图形不变矩理论、神经网络理论 ,实现了识别过程的自动化 ,大大方便了故障诊断系统的使用 ,提高故障诊断系统的自动诊断水平及准确率。
An automatic shaft orbit recognizing system of hydraulic power sets is presented in this paper. Combining the characteristic of shaft orbit of hydraulic power sets, this method applies the theory of wavelets, moment invariant and the theory of neural network to make the automation come ture, which is convenient and practical in fault diagnose system and make it more accurate.
出处
《水力发电学报》
EI
CSCD
北大核心
2002年第3期73-80,共8页
Journal of Hydroelectric Engineering