铜业工程Issue(6)：83-89,7.DOI:10.3969/j.issn.1009-3842.2024.06.010
基于子空间辨识的渣浆泵故障诊断方法研究
Subspace Identification-Based Fault Diagnosis Method for Slurry Pumps
摘要
Abstract
Slurry pump is a commonly used slurry conveying equipment in mineral processing production.Its online fault diagnosis is generally difficult.The concentrator often sets standby slurry pump as a means to avoid obstacles.A fault diagnosis method of slurry pump based on subspace identification technology is proposed.A subspace identification model is established by using on-line process data to realize fault diagnosis function.The test results showed that the method could diagnose the failure of instrument and the block-age of slurry pump feed port.In practical industrial application,this method could realize real-time monitoring and fault diagnosis of slurry pump,and could effectively improve the efficiency and stability of mineral processing production.At the same time,this method could also provide technical reference for other equipment fault diagnosis.关键词
子空间辨识/渣浆泵/故障诊断/实时监测Key words
subspace identification/slurry pump/fault diagnosis/real-time monitoring分类
矿业与冶金引用本文复制引用
王锐,陈静,高泽东,宋涛..基于子空间辨识的渣浆泵故障诊断方法研究[J].铜业工程,2024,(6):83-89,7.基金项目
甘肃省科技计划项目(20ZD7WC010) （20ZD7WC010）
镍钴共伴生资源开发与综合利用全国重点实验室开放课题(G2SYS-KY-2022-014)资助 （G2SYS-KY-2022-014）
