| 基于神经网络和混合编程的整流桥故障诊断研究 |
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| 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 |
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| 作者姓名： | 沈枫 王孟莲 梁树甜 |
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| 作者单位： | 中国船舶重工集团公司第七一二研究所,武汉,430064 |
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| 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。
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| 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 |
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| 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 |
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| Authors: | Shen Feng Wang Menglian Liang Shutian |
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| Affiliation: | 1 (1.Wuhan Institute of Marine Electric Propulsion,CSIC,Wuhan 430064,China; 2.Energy and Power Engineer School of WHUT,Wuhan 430064,China) |
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| 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. |
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| Keywords: | Mix programming ANN Fault diagnose |
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