| 基于PSO-BP神经网络的发动机故障诊断 |
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| 引用本文： | 冯辉宗,吴小敏,袁荣棣,苏岭. 基于PSO-BP神经网络的发动机故障诊断[J]. 化工自动化及仪表, 2013, 40(1): 76-79 |
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| 作者姓名： | 冯辉宗 吴小敏 袁荣棣 苏岭 |
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| 作者单位： | 1. 重庆邮电大学汽车电子与嵌入式研究中心,重庆,400065
2. 重庆长安新能源汽车有限公司,重庆,400065 |
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| 摘 要： | 提出一种将粒子群优化算法与BP网络结合的新算法——PSO-BP来训练神经网络的权值和阈值,并将该算法用于汽车发动机的故障诊断。仿真结果表明：PSO-BP算法较传统BP网络的故障诊断结果具有收敛速度快、准确度和精度高的特点。
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| 关 键 词： | 发动机故障诊断 PSO-BP 权值和阈值 仿真 |
Engine Fault Diagnosis Based on PSO-BP Neural Network |
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| FENG Hui-zong , WU Xiao-min , YUAN Rong-di , SU Ling. Engine Fault Diagnosis Based on PSO-BP Neural Network[J]. Control and Instruments In Chemical Industry, 2013, 40(1): 76-79 |
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| Authors: | FENG Hui-zong WU Xiao-min YUAN Rong-di SU Ling |
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| Affiliation: | 1.Automotive Electronics and Embedded Systems Engineering R&D Center, Chongqing University of Posts and Telecommunications,Chongqing 400065,China; 2.Chongqing Chang’an New Energy Vehicle Co.,Ltd.,Chongqing 400065,China) |
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| Abstract: | A novel algorithm which combing PSO and BP was presented for engine fault diagnosis and to train both weight and threshold value of neural network.The simulation results show that this PSO-BP algorithm outperforms the traditional BP network diagnosis in convergence rate and diagnosis precision. |
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| Keywords: | engine fault diagnosis PSO-BP weight and threshold value simulation |
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