摘要
针对目前汽车发动机故障诊断仅局限于事后诊断、诊断准确率低的缺陷,设计了一个基于数据融合的汽车发动机在线监测与故障预警系统。利用多传感器技术采集发动机各种运行状态参数,采用改进的数据融合算法,对发动机运行状态在线监测,将发动机异常结果进行故障诊断融合,再利用声光报警系统进行准确预警,有效的克服了发动机故障诊断准确率低、效率不高的问题,实现了不解体实时监测和故障诊断预警。实验结果表明,与传统算法相比,该系统能够快速、准确地进行发动机在线监测和故障预警,具有很强的有效性和实用性。
According to the defect of limited to post diagnosis and low diagnostic accuracy rate in fault diagnosis of automobile engine, a engine online monitoring and fault early warning system based on data fusion is presented. Using multi sensor technology acquisition engine operating parameters, the improved data fusion algorithm, the engine condition monitoring, fault diagnosis of the engine abnormal results of fusion, the sound and light alarm system for accurate early warning, effectively overcomes the engine fault diagnosis accurate rate is low, the efficiency is not high, the non disintegration real time monitoring and fault diagnosis and early warning. The experimental results show that, compared with the traditional algorithm, the system can on-line monitoring and fault warning engine rapid, accurate, efficient and very practical.
出处
《自动化与仪器仪表》
2015年第12期152-154,共3页
Automation & Instrumentation
基金
河南省科技攻关重点项目(132102210359)
