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基于神经网络和混合编程的整流桥故障诊断研究
引用本文:沈枫,王孟莲,梁树甜.基于神经网络和混合编程的整流桥故障诊断研究[J].船电技术,2011,31(10):32-34.
作者姓名:沈枫  王孟莲  梁树甜
作者单位:中国船舶重工集团公司第七一二研究所,武汉,430064
摘    要:本文介绍了采用VC++和MATLAB混合编程实现对三相整流桥进行故障诊断的方法。该方法通过VC++调用MATLAB引擎来驱动神经网络,将神经网络、数据采集及人机接口结合起来,对三相整流桥的故障进行在线诊断。试验证明,经过足够的样本训练,采用三层BP神经网络能达到一定的准确度。

关 键 词:混合编程  神经网络  故障诊断

Research of Rectifying Bridge Fault Diagnose Based on ANN and Mix Programming
Shen Feng,Wang Menglian,Liang Shutian.Research of Rectifying Bridge Fault Diagnose Based on ANN and Mix Programming[J].Marine Electric & Electronic Technology,2011,31(10):32-34.
Authors:Shen Feng  Wang Menglian  Liang Shutian
Institution:1 (1.Wuhan Institute of Marine Electric Propulsion,CSIC,Wuhan 430064,China; 2.Energy and Power Engineer School of WHUT,Wuhan 430064,China)
Abstract:In this paper, a method is introduced for three-phase rectifying bridge fault diagnose by utilizing VC++ and MATLAB mix programming. Through VC++ calling MATLAB engine to drive ANN, combined with ANN, data acquisition and HMI it diagnose faults of the three-phase rectifying bridge. The tests show that using three levels BP ANN can acquire the certain accuracy after enough sample training.
Keywords:Mix programming  ANN  Fault diagnose
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