Intelligent Fault Monitoring System of New Energy Tractor Engine for Big Data

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.

Design of a Wireless Monitoring System for Vibration Characteristics of the Wheeled Tractor at Idle Speeds

“…Vibration and sound are ubiquitous phenomena in the working process of power machinery. Although this can affect operational efficiency and the health of the driver, these characteristics can also serve as indicators of the machinery's operational status [19][20][21][22][23][24][25]. For example, Delgado-Arredondo et al [19] determined the functionality of a starter by analyzing the vibration and sound during the working operation.…”

“…Li et al [24] obtained the accuracy of tractor engine operating state information by analyzing the vibration signals at various measurement points on the tractor. Furthermore, Qi et al [25] designed a new energy tractor engine intelligent fault measuring system for big data, which could improve the real-time accuracy of the system.…”