Authors

Abstract

Tractor engine has complex working environment and many parts. In the process of use, with the increase of service mileage and working hours, parts will wear to a certain extent, resulting in some engine failures. Using modern fault diagnosis technology to know the working performance of tractor engine in time, and to judge whether each component is in or will be in any fault state, is of great importance and practical significance for the research of fault diagnosis technology theory and diagnosis system of tractor engine. Taking the engine of new energy tractor as the research object, the principle and monitoring method of engine intelligent fault diagnosis are introduced. Then, based on big data and neural network technology, the engine intelligent fault monitoring system of new energy tractor for big data is designed. The fault diagnosis system of tractor engine based on artificial intelligence and big data technology realizes the functions of database and signal analysis, which improves the real-time and accuracy of the system.

Abstract in Chinese

拖拉机发动机工作环境复杂，零部件多。在使用过程中，随着使用里程和工作时间的增加，零件会有一定程度的磨损，导致一些发动机故障。利用现代故障诊断技术及时了解拖拉机发动机的工作性能，判断各部件是否处于或将处于任何故障状态，对拖拉机发动机故障诊断技术理论和诊断系统的研究具有重要的现实意义。以新能源拖拉机发动机为研究对象，介绍了发动机智能故障诊断的原理和监测方法。然后，基于大数据和神经网络技术，设计了新能源拖拉机发动机大数据智能故障监测系统。基于人工智能和大数据技术的拖拉机发动机故障诊断系统实现了数据库和信号分析功能，提高了系统的实时性和准确性。