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。 Aiming at the defect that the fault diagnosis of automobile engine is confined to ex-post diagnosis and low diagnostic accuracy, a data fusion-based on-line monitoring and fault early warning system for automobile engine is designed. The use of multi-sensor technology to collect various operating parameters of the engine, the use of improved data fusion algorithm, on-line monitoring of engine operating conditions, the engine abnormal results of fault diagnosis fusion, and then use the sound and light alarm system for accurate warning, effectively overcome the engine Fault diagnosis accuracy is low, the efficiency is not high, to achieve a real-time monitoring and failure diagnosis without disassembly warning. The experimental results show that compared with the traditional algorithm, the system can quickly and accurately perform on-line engine monitoring and fault warning, which is of great effectiveness and practicability.