基于深度学习的电机故障检测技术专利综述

Patent Review of Motor Fault Detection Technology Based on Deep Learning

电机故障检测是保障电机设备运行安全的关键技术,现从专利文献的视角对采用深度学习技术的电机故障检测的发展进行了梳理分析,总结了与该技术有关的专利申请趋势、专利区域分析、主要申请人分析,介绍了深度学习技术的电机故障检测的重点技术分支和发展历程,为相关部门、企业及高校在该领域的技术研发和专利布局提供参考。

The fault detection of electric motor is a crucial technology to ensure the operational safety of electric motor equipment.From the perspective of patent literature,this paper reviews and analyzes the development of motor fault detection technique by deep learning,summarizes the patent application trend,patent region analysis and major applicant analysis related to this technology,and introduces the key technical branches and the evolution of motor fault detection based on deep learn.It provides a reference for relevant departments,enterprises and universities in the technological research and development as well as the patent strategies in this field.