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改进BP算法在柴油机故障诊断中的应用
The Application of Improved Neural Network to Fault Diagnosis in Diesel Engine
【摘要】 针对使用 BP算法的多层感知器中存在的网络学习收敛速度慢 ,容易陷入局部极小等问题 ,采用一个改进的算法 ,对设备故障进行诊断和分析研究。以某柴油机供油系统为例 ,对其中的几种常见故障进行了诊断研究。从中可以看出 ,改进算法加快了收敛速度 ,诊断的精度也有所提高。
【Abstract】 A new improved algorithm(IBP) was adopted aiming at the problems about slow convergence rate and easily to fall into part minimums in network studying of perceptions using BP algorithm.Taking supply oil system of diesel engine as example,the faults that appeared common was diagnosed adopting IBP algorithms.It can be obtained that this method improves the precision of diagnosis and prediction,quickens the tempo of convergence.
- 【文献出处】 内燃机 ,Internal Combustion Engines , 编辑部邮箱 ,2001年03期
- 【分类号】TK428
- 【被引频次】7
- 【下载频次】54