Research On Remote Fault Diagnosis Of Tracetor Electrical System

The electrical system is a key component in the entire tractor system,and plays an important role in controlling the normal operation of the airframe and driver’s actual driving in tractor systems.Once the electrical system fails,it will directly affect the safety and stability of the tractor.According to the statistics of enterprise tractor failure causes,the electrical system is the part that affects the performance of the tractor to the greatest extent except the hydraulic system.At present,Most of domestic and foreign tractor failure diagnostics focus on hydraulic systems and engine systems,and the research on the relevant theories and methods of fault diagnosis of the tractor electrical system is quite insufficient.Therefore,it has important theoretical value and application prospect to carry out fault monitoring and diagnosis of tractor electrical system.Traditional electrical fault diagnosis methods can not meet the needs of tractor intelligent development.For example,empirical diagnosis method depends on the experience of maintenance personnel;Waveform analysis requires professional equipment;The data analysis method did not form a standard diagnostic method.Therefore,based on the existing intelligent remote fault diagnosis system and combined with the advantages of traditional electrical fault diagnosis methods,a remote fault diagnosis scheme of tractor electrical system is proposed.The main contents of this paper are as follows:Introduced the tractor intelligent remote fault diagnosis system,which combines the Internet of things technology to connect the real vehicle with the data platform.The existing electrical fault diagnosis methods are studied.Combined with the characteristics of tractor intelligent remote fault diagnosis system,the remote fault diagnosis method of tractor electrical system is proposed,including fault diagnosis module and fault prediction module.(1)Analyze the working principle and characteristics of the existing tractor intelligent remote fault diagnosis system,studies the traditional electrical fault diagnosis methods,and puts forward a new remote fault diagnosis method of tractor electrical system,mainly based on data analysis method,supplemented by circuit analysis method and fault code query method,including fault diagnosis function and abnormal data capture function.(2)The circuit analysis method is used to analyze the circuit diagram of tractor electrical system and summarize the fault characteristics of electrical system;Based on the theory of finite state machine,the fault diagnosis model is built by using the state flow in Simulink,and the abnormal data flow monitoring fault symptom module based on aggregation function is built;Develop and test the upper computer software based on Python language to verify the accuracy of the fault diagnosis system.(3)Based on can and SAE-J1939 communication protocol,formulate the data message format of tractor electrical system and expand the fault diagnosis code;In order to realize complete and efficient data acquisition,data transmission and multimode system test,the data structure and application of Zig Bee protocol and Bluetooth BLE protocol are studied,and the J1939 message transmission mode based on Zig Bee and Bluetooth ble protocol is determined.(4)Combined with the software and hardware characteristics of tractor intelligent remote fault diagnosis system,the functions of data acquisition,data transmission and fault diagnosis of diagnosis machine network are simulated and tested respectively;Test the fault diagnosis function of tractor electrical system on the real vehicle;The test results are counted and analyzed,and compared with the traditional electrical system diagnosis methods.