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| GASA-SVM改进算法及其在柴油机供油系统故障诊断中的应用 | |
| 引用本文： | 何俊强,李建勇,姜涛涛,代勤芳,唐超.GASA-SVM改进算法及其在柴油机供油系统故障诊断中的应用[J].西南科技大学学报,2011,26(2):44-48. |
| 作者姓名： | 何俊强 李建勇 姜涛涛 代勤芳 唐超 |
| 作者单位： | 1. 重庆通信学院控制工程重点实验室，重庆，400035 2. 重庆通信学院电力工程系，重庆，400035 3. 重庆通信学院政治部，重庆，400035 4. 中国人民解放军78088部队，重庆，400039 |
| 基金项目： | 国防科研项目(TZ-CQTY-Y-A-2010-002); 重庆市高校优秀成果转化项目(Kjzh10219) |
| 摘 要： | 针对目前支持向量机(SVM)参数选择的盲目性,结合遗传算法GA的并行搜索和模拟退火算法SA的概率突跳特性,提出一种改进的基于遗传退火算法(GASA)混合策略优化支持向量机惩罚函数和核函数参数的GASA-SVM算法。利用柴油机供油系统油压波形的实测数据,归一化处理后作为诊断模型的特征值,建立了基于GASA-SVM的柴油机供油系统故障诊断模型。通过与BP神经网络、RBF神经网络、SVM和GA-SVM故障诊断模型比较表明:应用GASA-SVM建立的故障诊断模型在故障识别准确性上优于其它网络模型,能够有效进行柴油机供油系统的故障诊断。 |
| 关 键 词： | 遗传退火算法(GASA) 支持向量机(SVM) 供油系统 故障诊断 |
The Application of SVM Based on Improved GASA Algorithm to Fault Diagnosis in Diesel Engine Fuel System |
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| HEJun-qiang,LI Jian-yong,JIANG Tao-tao,DAI Qin-fang,TANG Chao.The Application of SVM Based on Improved GASA Algorithm to Fault Diagnosis in Diesel Engine Fuel System[J].Journal of Southwest University of Science and Technology,2011,26(2):44-48. | |
| Authors: | HEJun-qiang LI Jian-yong JIANG Tao-tao DAI Qin-fang TANG Chao |
| Institution: | HE Jun-qiang~1,LI Jian-yong~2,JIANG Tao-tao~3,DAI Qin-fang~4,TANG Chao~1 (1.Key Laboratory of Control Engineering,Chongqing Communication Institute,Chongqing 400035,China,2.Department of Electric Power Engineering,Chongqing 400050,3.Political Department of Chongqing Communication Institute,4.78088 Troops of PLA,Chongqing 400039,China) |
| Abstract: | For the current choice blindness of parameters in support vector machine,combined with parallel search feature in genetic algorithm and probability sudden jump characteristic in simulated annealing structure,an improved GASA-SVM based on GASA mixed strategy to optimize the parameters of support vector machines penalty function and the kernel function is proposed in this paper.According to the pressure data measured from fuel supply system of diesel engine,which is taken as the characteristic values for diag... |
| Keywords: | Genetic annealing structure(GASA) Support Vector Machine(SVM) Fuel system Fault diagnosis |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |