基于神经网络和混合编程的整流桥故障诊断研究

Research of Rectifying Bridge Fault Diagnose Based on ANN and Mix Programming

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。

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.