煤矿旋转机械在线故障诊断及预警系统设计
Design of online fault diagnosis and early warning system for coal mine rotating machinery
【索引】杨一晴,马宏伟,樊红卫,等.煤矿旋转机械在线故障诊断及预警系统设计[J].工矿千亿国际app下载,2019,45(10):104-108.
【Reference】YANG Yiqing, MA Hongwei, FAN Hongwei,et al.Design of online fault diagnosis and early warning system for coal mine rotating machinery[J].Industry and Mine Automation,2019,45(10):104-108.
【DOI】10.13272/j.issn.1671-251x.2019010092
【作者】杨一晴1,马宏伟1,2,樊红卫1,2,张旭辉1,2,张超1,韩磊3
【Author】YANG Yiqing1,MA Hongwei1,2,FAN Hongwei1,2,ZHANG Xuhui1,2,ZHANG Chao1,HAN Lei3
【作者机构】1.西安科技大学 机械工程学院, 陕西 西安710054;2.陕西省矿山机电装备智能监测重点实验室, 陕西 西安710054;3.陕西煤业化工技术研究院有限责任公司, 陕西 西安710070
【Unit】YANG Yiqing1,MA Hongwei1,2,FAN Hongwei1,2,ZHANG Xuhui1,2,ZHANG Chao1,HAN Lei3
【摘要】针对现有煤矿机械在线监测与诊断技术未实现故障特征在线提取及故障类型自动识别的问题,设计了一种基于LabVIEW的煤矿旋转机械故障在线诊断及预警系统。该系统采用频谱分析、功率谱分析、包络谱分析、倒频谱分析等方法分析振动信号,得到旋转机械运行过程中各部件的特征参数,与故障类型数据库里的特征参数进行对比,实现故障诊断。设计了精细诊断和粗略诊断2种故障诊断模式,通过互锁的方式将2种模式关联起来,若旋转机械各主要部件结构参数已知,可选用精细诊断模式,否则选用粗略诊断模式。通过模拟旋转机械转子不平衡故障验证系统性能,结果表明,该系统能够准确识别故障并发出提示,且操作简单、可靠性高。
【Abstract】In view of problems that existing coal mine machinery online monitoring and diagnosis technology did not realize online extraction of fault characteristics and automatic identification of fault types, an online fault diagnosis and early warning system for coal mine rotating machinery based on LabVIEW was designed. The system analyzes vibration signal by means of spectrum analysis, power spectrum analysis, envelope spectrum analysis and cepstrum analysis, and obtains characteristic parameters of each component in running process of the rotating machine, and compares it with characteristic parameters in fault type database to realize fault diagnosis. Two kinds of fault diagnosis modes are designed including fine diagnosis and rough diagnosis, the two modes are associated by interlocking. If structural parameters of the main components of rotating machine are known, the fine diagnosis mode can be selected,otherwise, the rough diagnosis mode can be selected. Performance of the system is verified by simulating rotor unbalance fault of rotating machine, and the results show that the system can accurately identify faults and issue prompts with simple operation and high reliability.
【关键词】 煤矿旋转机械; 故障诊断; 在线诊断; 在线预警; 精细诊断; 粗略诊断
【Keywords】coal mine rotating machinery; fault diagnosis; online diagnosis; online warning; fine diagnosis; rough diagnosis
【文献出处】工矿千亿国际app下载,2019年10期
【基金】国家自然科学基金项目(51605380);国家绿色制造系统集成项目子课题(工信部节函〔2017〕327号-1);陕西省重点研发计划重点产业创新链项目(2018ZDCXL-GY-06-04);陕西省创新能力支撑计划创新人才推进计划科技创新团队项目(2018TD-032)。
【分类号】TD63
本网站仅提供本刊2009年之后的全文下载,其它年份的全文下载将自动转到中国知网。中国知网不支持迅雷等加速下载工具,请取消加速工具后下载。
【关 闭】