[1]冯 斌.基于神经网络的汽车发动机机械设备故障定位[J].机械与电子,2022,(12):39-43.
 FENG Bin.Fault Location of Automobile Engine Mechanical Equipment Based on Neural Network[J].Machinery & Electronics,2022,(12):39-43.
点击复制

基于神经网络的汽车发动机机械设备故障定位()
分享到:

《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2022年12期
页码:
39-43
栏目:
机电一体化技术
出版日期:
2022-12-24

文章信息/Info

Title:
Fault Location of Automobile Engine Mechanical Equipment Based on Neural Network
文章编号:
1001-2257 ( 2022 ) 12-0039-05
作者:
冯 斌
四川三河职业学院,四川 泸州 646200
Author(s):
FENG Bin
( Sichuan Sanhe College of Professionals , Luzhou 646200 , China )
关键词:
神经网络汽车发动机机械设备故障定位遗传算法
Keywords:
neural network automobile engine mechanical equipment fault location genetic algorithm
分类号:
U472 ; TP183
文献标志码:
A
摘要:
为提升发动机故障定位方法的定位性能,提出基于神经网络的汽车发动机机械设备故障定位。该方法首先依据汽车发动机具体结构,分析汽车发动机的各项故障类型,结合小波原理分析发动机振动信号,获取发动机故障特征向量值;再依据获取的特征向量,建立基于人工神经网络的汽车发动机故障定位模型;最后通过遗传算法更新模型参数,计算模型输出值,实现发动机的故障定位。结果表明,运用该方法对汽车发动机实施故障定位时,故障定位精度高、定位效果好以及定位性能优秀。
Abstract:
In order to improve the performance of engine fault location method , a neural network based fault location method for automobile engine mechanical equipment was proposed.The method firstly analyzes various fault types of the automobile engine according to the specific structure of the automobile engine , analyzes the engine vibration signal with the wavelet principle , and obtains the characteristic vector value of the engine fault ; and then establishes the fault location of the automobile engine based on the artificial neural network according to the obtained characteristic vector.Finally , the model parameters are updated through the genetic algorithm , the model output value is calculated , and the fault location of the engine is realized.The experimental results show that when the method is used to locate the fault of the automobile engine , the fault location accuracy is high , the location effect is good , and the location performance is excellent.

参考文献/References:

[ 1 ] 张阳阳,贾云献,吴巍屹,等 . 概率神经网络在车辆齿轮箱典型故障诊断中的应用[ J ] . 汽车工程, 2020 , 42 ( 7 ):972-977.

[ 2 ] 陈鲲,茆志伟,张进杰,等 . 基于和声搜索优化栈式自编码器的柴油发动机故障诊断[ J ] . 机械工程学报, 2020 ,56 ( 11 ): 132-140.
[ 3 ] 李芳,孙鹏飞,张连新 . 基于故障特征频率的精密机械主轴复合故障定位方法 [ J ] . 机床与液压, 2020 , 48( 22 ): 182-185 , 191.
[ 4 ] 赵思腾,桂林,张琦雪,等 . 大型发电机及其机端外接元件单相接地故障定位 [ J ] . 中国电力, 2020 , 53 ( 3 ):119-125.
[ 5 ] 彭博,张彩萍 . 基于微分方程算法的光伏并网联络线故障定位方法研究 [ J ] . 可再生能源, 2021 , 39 ( 10 ):1401-1406.
[ 6 ] 黄功,赵永平,谢云龙 . 基于局部密度的加权一类支持向量机算法及其在涡轴发动机故障检测中的应用[ J ] .计算机应用,2020 , 40 ( 3 ): 917-924.
[ 7 ] 许伯彦,李瑞晨,齐运亮,等 . 增压直喷乙醇 汽油发动机超级爆震模拟 [ J ] . 内燃机学报, 2020 , 38 ( 4 ):312-319.
[ 8 ] 路颜,高攀科,程光威,等 . 液压混合动力汽车自动怠速系统控制策略 [ J ] . 液压与气动, 2022 , 46 ( 1 ):169-177.
[ 9 ] 杨帆,高慧,刘超,等 . 基于小波包的轴流泵装置进水流道出流脉动特性分析[ J ] . 应用基础与工程科学学报,2020 , 28 ( 5 ): 1068-1077.
[ 10 ] 方晶晶,陈建,牛坡,等 . 微耕机振动特性仿真及试验研究[ J ] . 农机化研究, 2020 , 42 ( 4 ): 203-207.
[ 11 ] 赵斌娟,刘琦,付燕霞,等 . 基于人工神经网络的离心泵叶轮边界涡量流预测 [ J ] . 排灌机械工程学 报,2020 , 38 ( 2 ): 127-132.
[ 12 ] 刘巍,李锰,李秋燕,等 . 基于改进遗传算法的电网投资组合预测方法[ J ] . 电力系统保护与控制, 2020 , 48( 8 ): 78-85.
[ 13 ] 蒋原,李擎,冯茜,等 . 基于 BP 神经网络的直流电网故障定位与保护方法[ J ] . 高压电器,2020 , 56 ( 8 ):23-28.

相似文献/References:

[1]贾勇,马戎,李岁劳.MEMS陀螺零偏温度补偿[J].机械与电子,2019,(03):18.
 JIA Yong,MA Rong,LI Suilao. Bias Temperature Compensation Method of MEMS Gyroscope [J].Machinery & Electronics,2019,(12):18.
[2]李 力,陆金桂.基于PSO-BP神经网络的飞灰含碳量测量方法[J].机械与电子,2019,(04):68.
 .Prediction Method of Carbon Content in Fiy Ash Based on PSO-BP Neural Network[J].Machinery & Electronics,2019,(12):68.
[3]王正.有导师学习神经网络的大米识别[J].机械与电子,2018,(05):67.
 WANG Zheng,Classification and Recognition of Rice Based on Supervised Learning Neural Network[J].Machinery & Electronics,2018,(12):67.
[4]方 明,王 春,李松有.基于 DA- SVR的2M 继电保护通道在线监测和故障诊断[J].机械与电子,2020,(02):63.
 ,On-line Monitoring and Fault Diagnosis of 2M Relay Protection Channel Based on DA-SVR[J].Machinery & Electronics,2020,(12):63.
[5]张晓军.基于神经网络模糊控制的单目无人机视觉避障方法研究[J].机械与电子,2020,(06):41.
 ZHANG Xiaojun.Research on Visual Obstacle Avoidance Method of Monocular UAV Based on Neural Network Fuzzy Control[J].Machinery & Electronics,2020,(12):41.
[6]陈 壮,王宪伦,陈 闪.基于优化ADRC的单臂机器人轨迹跟踪研究[J].机械与电子,2020,(10):77.
 CHEN Zhuang,WANG Xianlun,CHEN Shan.Study on Trajectory Tracking of Single-arm Robot Based on Optimized ADRC[J].Machinery & Electronics,2020,(12):77.
[7]吕栋腾 1,雷涛峰 2.基于神经网络的火电厂脱硫控制系统研究[J].机械与电子,2021,(09):37.
 LU Dongteng,LEI Taofeng.Research on Desulfurization Control System of Thermal Power Plant Based on Neural Network[J].Machinery & Electronics,2021,(12):37.
[8]平华丽.块状食品枕式包装机多轴同步控制[J].机械与电子,2022,(01):68.
 PING Huali.Multi Axis Synchronous Control of Pillow Packing Machine for Block Food[J].Machinery & Electronics,2022,(12):68.

备注/Memo

备注/Memo:
收稿日期: 2022-03-16
作者简介:冯 斌 ( 1974- ),男,四川泸州人,讲师,研究方向为汽车维修。
更新日期/Last Update: 2023-01-04