Fault Diagnosis of Intelligent Agricultural Vehicles Based on Fault Trees

Aiming at the problems of complex fault location and difficult diagnosis of intelligent agricultural vehicles, fault analysis is carried out on intelligent agricultural vehicles from aspects such as structure, operation characteristics and fault forms based on the fault tree analysis method, and targeted solutions are proposed.The intelligent agricultural vehicle consists of four major functional modules: monitoring, machinery, weeding, and spraying. Regarding the issues of efficiency and accuracy in the links such as weeding, fertilizing, and pest and disease control in agricultural production, fault analysis of the intelligent agricultural vehicle is conducted based on the fault tree analysis method.The results show that mechanical wear, electrical short circuits, sensor failures, and control system malfunctions are the main fault modes, and the root causes of these faults include harsh environments, operational errors, and insufficient maintenance.This provides a reliable basis for subsequent research on agricultural machinery and helps promote the development of agricultural mechanization and intelligence.