摘要
针对机械设备热成像故障诊断中图像样本向量化维数灾难和结构信息破坏的问题,提出了基于弹性核凸包张量机的机械设备热成像故障诊断方法。首先定义样本特征张量空间的弹性核凸包,然后求解弹性核凸包间的最优超平面来构建弹性核凸包张量机模型,最后以机械设备不同故障状态下的热成像图像为输入,实现机械设备的故障诊断。实验结果表明:该方法可以准确、稳定地对机械设备进行故障诊断。
Aiming at problems of dimensionality disaster and structure information destruction in thermal imaging fault diagnosis of mechanical equipment,a fault diagnosis method of mechanical equipment thermal images was proposed based on FKCH-TM.Firstly,flexible kernel convex hull(FKCH)of each class in feature tensor space was defined.Then,the optimal hyperplane between the FKCH was found,and FKCH-TM model was built.Finally,thermal images of mechanical equipment under different fault conditions were directly used as the input of FKCH-TM for fault diagnosis.Experimental results show that the proposed method may identify and diagnose the faults of mechanical equipment accurately and stably.
作者
何知义
邵海东
程军圣
杨宇
HE Zhiyi;SHAO Haidong;CHENG Junsheng;YANG Yu(State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha,410082;College of Mechanical and Vehicle Engineering,Hunan University,Changsha,410082)
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2021年第12期1456-1461,1478,共7页
China Mechanical Engineering
基金
国家自然科学基金(51905160)。
关键词
机械设备
故障诊断
热成像
弹性核凸包张量机
mechanical equipment
fault diagnosis
thermal image
flexible kernel convex hull based on tensor machine(FKCH-TM)