摘要
针对信息不全情况下的齿轮箱混合故障诊断问题,运用自编码器实现齿轮箱状态信息的特征融合,并结合随机森林方法实现齿轮箱混合故障的诊断。通过案例分析验证了应用本方法的齿轮箱故障诊断效果。
Aiming at the problem of gearbox mixed fault diagnosis under incomplete information,a self-encoder is used to realize feature fusion of gearbox state information,and the random forest method is combined to realize the diagnosis of gearbox mixed fault.Case analysis verifies the effectiveness of gearbox fault diagnosis using this method.
作者
童晓帆
杨萍
赵建民
TONG Xiao-fan;YANG Ping;ZHAO Jian-min(Shijiazhuang Yang Tian Technology Co.,Ltd.,Shijiazhuang 050035,China;Hebei Key Laboratory of Condition Monitoring and Assessment of Mechanical Equipment,Shijiazhuang 050035,China)
出处
《机械工程与自动化》
2024年第5期160-162,共3页
Mechanical Engineering & Automation
基金
河北省重点研发计划项目(22351702D)。
关键词
齿轮箱
故障诊断
信息融合
状态特征
gearbox
fault diagnosis
information fusion
state feature
