摘要
基于常规频谱分析诊断方法的不足 ,详细地论述了离散的BAM网络及其故障隔离作用。进而讨论了热力机组启停机过程常见典型故障的振动变化特征及其数字化描述方法 ,并成功地将离散BAM网络应用于热力机组启停机过程的故障诊断 。
Based on some shortages of general diagnostic methods, the discrete BAM neural network is minutely discussed in this paper. Then varied vibration characteristics of ordinary faults are discussed during start and stop of Heat Power Turbo-generators, a BAM neural networks diagnostic approach is presented, and it is proved that the new diagnostic approach is effective for Heat Power Turbo-generators.
出处
《汽轮机技术》
北大核心
2001年第4期219-221,共3页
Turbine Technology
