遗传神经网络在蒸汽发生器故障诊断中的应用

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Application of Genetic Neural Network in Steam Generator Fault Diagnosing

College of Power & Nuclear Energy Engineering, Harbin Engineering University, 150001, China

摘要: 针对传统的BP神经网络学习算法易陷入局部极小以及收敛速度慢等问题,本文在神经网络中融合遗传算法,并将其应用到蒸汽发生器(SG)故障诊断中。结果证明,该算法能有效地解决网络训练中的收敛问题。
- BP神经网络 /
- 遗传算法 /
- 蒸汽发生器 /
- 故障诊断
Abstract: In the paper, a new algorithm which neural network and genetic algorithm are mixed is adopted, aiming at the problems of slow convergence rate and easily falling into part minimums in network studying of traditional BP neural network, and used in the fault diagnosis of steam generator. The result shows that this algorithm can solve the convergence problem in the network trains effectively.
- BP neural network /
- Genetic algorithm /
- Steam generator /
- Fault diagnosing