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.
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