摘要
Abstract
Agricultural machinery is very prone to wear and tear,corrosion,transmission failure,sensor abnormalities and other faults due to long-term operation in complex and changing field environments.This paper reviews the current common failure types and causes of agricultural machinery and equipment,analyzes the failure detection methods based on vibration signals,sound signals,thermal imaging,current waveforms and other information sources,and discusses the progress of the application of intelligent diagnostic technologies such as expert systems,fuzzy logic,artificial neural networks,and support vector machines(SVM)in agricultural equipment.By building a multi-source information fu-sion and real-time monitoring system,the health status of agricultural machinery and equipment can realize early warn-ing and accurate positioning.The purpose of this paper is to provide theoretical support and technical reference for the optimization of agricultural machinery fault detection technology and the development of agricultural intelligent equip-ment.关键词
农业机械/故障检测/智能诊断/传感技术/人工智能Key words
agricultural machinery/fault detection/intelligent diagnosis/sensing technology/artificial intelligence分类
农业科技
