[1]赵芙生,张金龙.电控汽车智能测试仪器的研制[J].南京师范大学学报(工程技术版),2004,04(03):031-33.
 ZHAO Fusheng,ZHANG Jinlong.Development of Intelligent Testing Instrument for Electronically-controlled Automobiles[J].Journal of Nanjing Normal University(Engineering and Technology),2004,04(03):031-33.
点击复制

电控汽车智能测试仪器的研制
分享到:

南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
04卷
期数:
2004年03期
页码:
031-33
栏目:
出版日期:
2004-09-30

文章信息/Info

Title:
Development of Intelligent Testing Instrument for Electronically-controlled Automobiles
作者:
赵芙生张金龙
南京师范大学电气与电子工程学院, 江苏南京210042
Author(s):
ZHAO Fusheng ZHANG Jinlong
School of Electrical and Electronic Engineering,Nanjing Normal University, Nanjing 210042, China
关键词:
智能仪器 神经网络 电控汽车 测试技术
Keywords:
intelligent instrument neural network electronically- controlled engine testing technology
分类号:
TP23
摘要:
利用虚拟仪器技术开发的电控汽车智能仪器 ,以工控机为主控单元 ,以VisualC++为开发平台研制的电控汽车测试系统 ,能实时检测、记录、显示和存储汽车各种传感器、执行器、电子控制单元 (ECU)及电气设备等的数据及波形 ,并能利用配备的神经网络专家系统 ,正确、迅速诊断故障 .实车测试表明 ,该检测仪测试结果正确 ,可靠性高
Abstract:
An intelligent testing instrument for electronically- controlled automobiles has been presented, which uses an industrial control computer PC as the central control unit and uses Visual C++ as the software developing platform. It can in real time measure, record, display and store data and waves of the electronic parts of automobiles, such as transducers, actuators and ECU. It can quickly diagnose the trouble with the automobile by means of neural network expert system.

参考文献/References:

[ 1] Rodriguez C. A modular neural network approach to diagnosis [ J] . IEEE Transaction on Neural Networks, 1996, 5( 2) : 326- 340.
[ 2] Michel A N, Farrell J A. Associative memories via artificial neural networks[ J] . IEEE Control Systems Magazine, 1990, 10( 3) : 6- 17.
[ 3] 阎平凡, 张长水. 人工神经网络与模拟进化计算[M] . 北京: 清华大学出版社, 2000. 40- 60.
[ 4] 庄继德. 汽车电子控制系统工程[M] . 北京: 机械工业出版社, 1998.
[ 5] 曹国华. 虚拟仪器及其应用[ J] . 南京师范大学学报 ( 工程技术版) , 2003, 3( 1) : 10- 12.
[ 6] 黄凤良. 基于软测量的检测技术[ J] . 南京师范大学学报( 工程技术版) , 2003, 3( 1) : 5- 6.

相似文献/References:

[1]单剑锋,翟 波.基于小波神经网络的无线电引信目标识别新方法[J].南京师范大学学报(工程技术版),2010,10(02):084.
 Shan Jianfeng,Zhai Bo.New Radio Fuze Target Recognition Based on Wavelet Neural Network[J].Journal of Nanjing Normal University(Engineering and Technology),2010,10(03):084.
[2]张川燕,王子介.基于BP神经网络的热舒适性指标计算[J].南京师范大学学报(工程技术版),2009,09(01):044.
 Zhang Chuanyan,Wang Zijie.Thermal Comfort Index Computing Based on BP Neural Networks[J].Journal of Nanjing Normal University(Engineering and Technology),2009,09(03):044.
[3]胡寿松,徐德友,张敏.基于粗糙神经网络的歼击机操纵面智能故障诊断[J].南京师范大学学报(工程技术版),2004,04(03):001.
 HU Shousong,XU Deyou,ZHANG Min.Intelligent Fault Diagnosis of Fighter Control Surfaces Based on Rough Neural Network[J].Journal of Nanjing Normal University(Engineering and Technology),2004,04(03):001.
[4]刘清.神经网络和遗传算法相结合实现非线性传感特性的线性化[J].南京师范大学学报(工程技术版),2002,02(03):011.
 Liu Qing.Linearization of Sensor’s Nonlinearity by Using Genetic Algorithms and Neural Network[J].Journal of Nanjing Normal University(Engineering and Technology),2002,02(03):011.

备注/Memo

备注/Memo:
基金项目: 江苏省高校自然科学基金资助项目( 03KJD460114) .
作者简介: 赵芙生( 1952- ) , 高级工程师, 主要从事工业电气自动化的教学与研究. E-mail: fszhao- 1214@ 163. com
更新日期/Last Update: 2013-04-29