农机化研究2018，Vol.40Issue(2)：252-256,5.
农用汽车发动机状态监测系统与诊断方法研究
Research on Condition Monitoring System and Diagnosis Method of Agricultural Automobile Engine
摘要
Abstract
In order to diagnose the working performance and the fault state of the agricultural vehicle engine in time, a kind of signal acquisition, analysis and processing system is designed.The engine fault diagnosis platform is built by collecting, processing, fusing and diagnosing the monitoring signals.Introduces the basic idea and framework of network fault diagnosis system, focus on the acquisition and signal processing algorithms, this paper proposes an information fusion based on BP neural network engine fault diagnosis algorithm, the online experiment shows that the system has stable operation and good robustness, high diagnosis accuracy, and can meet the practical diagnostic requirements.关键词
农用汽车/发动机/故障诊断/信号处理/在线监测Key words
agricultural vehicles/engine/fault diagnosis/signal processing/online monitoring分类
农业科技引用本文复制引用
王彦梅,李佳民..农用汽车发动机状态监测系统与诊断方法研究[J].农机化研究,2018,40(2):252-256,5.基金项目
浙江省教科规划2017年度(重点)研究项目(2017SB100) （重点）
