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| 基于RBF网络的模拟电路故障诊断算法 | |
| 引用本文： | 秦庆强,张晓安,李艾华,史慧.基于RBF网络的模拟电路故障诊断算法[J].计算机仿真,2010,27(5):331-335. |
| 作者姓名： | 秦庆强 张晓安 李艾华 史慧 |
| 作者单位： | 1. 第二炮兵工程学院,陕西,西安,710025;第二炮兵驻中电科技集团型号办,北京,100085 2. 第二炮兵驻中电科技集团型号办,北京,100085 3. 第二炮兵工程学院,陕西,西安,710025 4. 北京航天测控技术开发公司,北京,100041 |
| 基金项目： | 总装备部预研基金支持项目(13331001526) |
| 摘 要： | 针对BP神经网络在模拟电路故障诊断上存在的收敛速度慢、易陷入局部最小等不足,提出了一种基于多层小波分解和RBF神经网络的模拟电路故障诊断算法。为提高诊断效率,用多层小波分解能有效提取电路故障特征;用RBF网络优良的泛化能力和快速的非线性逼近能力可以较好的解决模拟电路中存在的容差和非线性问题。故障诊断仿真实验表明,在保证较高故障诊断正确率的情况下,RBF网络的训练次数得到了极大地缩小,有效克服了基于BP网络算法存在的上述不足,极大地提高了模拟电路故障诊断的时间效率。 |
| 关 键 词： | 模拟电路 故障诊断 多层小波分解 径向基函数神经网络 |
Algorithm Based on RBF Artificial Network for Analog Circuit Faults Diagnosis |
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| QIN Qing-qiang,ZHANG Xiao-an,LI Ai-hua,SHI Hui.Algorithm Based on RBF Artificial Network for Analog Circuit Faults Diagnosis[J].Computer Simulation,2010,27(5):331-335. | |
| Authors: | QIN Qing-qiang ZHANG Xiao-an LI Ai-hua SHI Hui |
| Affiliation: | 1.The Engineering College of Second Artillery/a>;Xi'an Shanxi 710025/a>;China/a>;2.The Project Office of Second Artillery at China Electronics Technology Group Corporation/a>;Beijing 100085/a>;China 3.Aerospace Measurement & Control Technology Development Company/a>;Beijing 100041/a>;China |
| Abstract: | Aiming at faults diagnosis of analog circuit,an algorithm based on radial basis function neural network(RBF ANN) and multi-layer wavelet decomposition is discussed in this paper.The multi-layer wavelet decomposition can extract fault features,and meanwhile,the RBF ANN's excellent generalization ability and nonlinear approximation ability can resolve analog circuit's tolerance and nonlinearity effectively.Simulation results on benchmark circuits show that the training epochs of RBF ANN are less than that of ... |
| Keywords: | Analog circuit Fault diagnosis Multi-layer wavelet decomposition RBF ANN |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |