中国电机工程学报2002，Vol.22Issue(5)：121-124,4.
汽轮发电机组故障智能诊断方法研究
INTELLIGENT FAULT DIAGNOSIS METHOD FOR TURBO-GENERATOR UNIT
陈长征 1栗青 1刘一芳 1王亚光1
作者信息
- 1. 沈阳工业大学诊断与控制工程中心,辽宁,沈阳,110023
- 折叠
摘要
Abstract
This article presents an approach to fault diagnosis of turbo-generator unit by using intelligent neural networks. The conventional back-propagation network was optimized by Using a method of layer by layer, the action mech-anism of signal processing in neural networks was probed, the structure of this system was designed and the performance was discussed based on this. An intelligent method which can adaptively determine the fault of the turbo-generator unit is proposed. A relation table for causes and manifestations to turbine fault was proposed, using this table, three-layer percep-trons was improved, a fault in turbine was identified. This method is used in an example of the fault diagnosis, the results show that the fault can be accurately diagnosed. 关键词
汽轮发电机组/故障诊断/神经网络/感知器Key words
turbo-generator unit/fault diagnosis/neural networks/perceptrons分类
信息技术与安全科学引用本文复制引用
陈长征,栗青,刘一芳,王亚光..汽轮发电机组故障智能诊断方法研究[J].中国电机工程学报,2002,22(5):121-124,4.
