首页|基于堆叠稀疏自编码器的多缸喷油器堵塞定位算法

基于堆叠稀疏自编码器的多缸喷油器堵塞定位算法

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燃油喷射系统的工作质量直接影响柴油机工作过程及性能,针对多缸机不同喷油器发生堵塞故障且故障程度不一时,传统故障诊断方法难以精准定位故障喷油器的问题,提出一种基于堆叠稀疏自编码器(Stacked Sparse Autoencoder,SSAE)的故障定位算法.通过SSAE提取不同喷油器发生堵塞故障时轨压信号的深层特征,以softmax网络实现故障部件定位.以一维轨压信号为输入,故障喷油器定位为输出,并研究算法超参数对算法精度的影响.研究结果表明,此算法能精准定位发生堵塞故障的喷油器,且精度不受堵塞程度的影响,故障诊断正确率可达96.7%.
Blockage Location Algorithm of Multi-cylinder Fuel Injectors Based on Stacked Sparse Autoencoder
The quality of the fuel injection system directly affects the working process and performance of diesel engines.The traditional fault diagnosis methods are difficult to accurately locate the faulty injectors when the blocking faults occur in different injectors of multi-cylinder engines with varying degrees of fault.A fault location algorithm based on stacked sparse autoencoder(SSAE)is proposed.The deep features of rail pressure signals are extracted by SSAE when the fuel injectors at different positions experience the blocking faults,and softmax network is used to locate the faulty injectors.The influence of algorithm hyperparameters on algorithm accuracy is studied by takin one-dimensional rail pressure signal as input and faulty injector position as output.The final results indicate that this algorithm can accurately locate the fuel injector with blocking faults,and the locating accuracy is not affected by the degree of blockage.The fault diagnosis accuracy can reach 96.7%.

high-pressure common railblockage of different fuel injectorsstacked sparse autoencoderfault location

王健、黄英、高晓宇、王拓、王绪、惠嘉赫

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北京理工大学机械与车辆学院,北京 100081

北京理工大学重庆创新中心,重庆 401120

北方车辆研究所综合传动技术部,北京 100072

高压共轨 不同喷油器堵塞 堆叠稀疏自编码器 故障定位

国家自然科学基金项目国家自然科学基金项目

5147504350975026

2024

兵工学报
中国兵工学会

兵工学报

CSTPCD北大核心
影响因子:0.735
ISSN:1000-1093
年,卷(期):2024.45(10)