基于大数据的拖拉机发动机故障检测系统设计

针对拖拉机发动机检修人员技术水平较低、故障检测系统依赖人工检验程度较高的问题,基于大数据对拖拉机发动机故障检测系统进行了设计.系统主要组成为数据采集模块、数据库、智能分析模块、检测模块、信息查询和维护模块和检修模块.为了避免人工操作对故障检测的干扰,采用卷积神经网络的故障检测方式对拖拉机发动机进行故障类型识别,并对卷积...

Design of the Tractor Engine Fault Detection System Based on Big Data

Aiming at the problem of low technical level of tractor engine maintenance person,and highly depend on manual inspection of fault detection system,the tractor engine fault detection system was designed based on big data.The system was constituted of data acquisition module,database,intelligent analysis module,detection module,information query and maintenance module.The system identified the fault type of tractor engine in the method of convolutional neural network to avoid the interference of manual operation to fault detection.To improve the intelligent level of fault detection,the convolutional neural network was designed.To verify the validity of the fault detection system,the system was trained and tested by adjusting the temperature and efficiency data.The test result show that the system could detect and recognize the type of the fault.