电子科技2016，Vol.29Issue(12)：152-155,4.DOI:10.16180/j.cnki.issn1007-7820.2016.12.042
基于BPNN与DS理论的联合收割机监控系统设计
Monitoring System of Combine Harvester Based onBPNN and DS Theory
摘要
Abstract
To grasp the harvester working state timely and improve the early warning and pretreatment ability of jam fault, this paper designed a set of combine harvester intelligent monitoring system.This system takes the MCU as the main controller, touch screen as man-machine interactive system, using based on BPNN (BP neural network) and DS theory of jam fault diagnosis algorithm to analyze harvester working state, according to the diagnosis to control harvester forward speed automaticlly and realize the optimization of the combined harvester working condition and reduce blockage fault occurrence rate.The test shows that the system has the advantages of easy operation, stable operation, improving the harvester control environment,making jam fault warning time reach more than 3 seconds and reducing the blockage failure rate.关键词
联合收割机/BP神经网络/DS理论/故障诊断/自动控制/故障预警Key words
combine harvester/BP neural network/DS theory/fault diagnosis/automaticl control/fault early warning分类
信息技术与安全科学引用本文复制引用
陈进,徐凯,王学磊,丁松..基于BPNN与DS理论的联合收割机监控系统设计[J].电子科技,2016,29(12):152-155,4.基金项目
国家高技术研究发展计划(863计划)基金资助项目(2012AA10A502) （863计划）
江苏省科技支撑计划基金资助项目(BE2012312) （BE2012312）
江苏省科技成果转化基金资助项目(BA2014.62) （BA2014.62）
