数据驱动的舰炮PHM系统指标体系研究
|
摘要
针对建立数据驱动的中大口径舰炮PHM系统缺乏科学合理的监测指标体系问题,借鉴复杂机电系统监测指标体系研究方法和构建思路,对中大口径舰炮监测对象选取进行了研究,提出了监测对象和监测指标的选取原则;在此基础上,从人、机、环三方面对舰炮服役状态影响因素进行了研究,从而选取了合理可行的监测指标,确定了指标体系的因素层和总体指标层指标;最后,根据指标的层状结构,构建了多层次递进的舰炮PHM系统监测指标体系。建立的监测指标体系符合舰炮的结构组成特点和使用维护特点,为数据驱动的舰炮PHM系统研究和应用提供了技术支撑。
Aiming at the lack of scientific and reasonable monitoring index system of the data driven PHM for medium and large caliber naval gun,by drawing on the method and idea of index system study and construction of complex electromechanical system,the monitoring objects selection is studied,and the selection principles of monitoring objects and index of PHM for naval gun are proposed.On this basis,the effect factors for service status of naval gun,which come from person,machine and enviroment are studied,meanwhile,the monitoring indices are selected scientifically,the factors layer and overall index layer are established.As a result,a multi-level progressive index system of naval gun is constructed based on the stratified structure of the monitoring index.The monitoring index system,which provides the technical approaches for the researching and applying of data driven PHM for naval gun,is conformed to structural feature and usage and maintenance requirements of medium and large caliber naval gun.
Aiming at the lack of scientific and reasonable monitoring index system of the data driven PHM for medium and large caliber naval gun,by drawing on the method and idea of index system study and construction of complex electromechanical system,the monitoring objects selection is studied,and the selection principles of monitoring objects and index of PHM for naval gun are proposed.On this basis,the effect factors for service status of naval gun,which come from person,machine and enviroment are studied,meanwhile,the monitoring indices are selected scientifically,the factors layer and overall index layer are established.As a result,a multi-level progressive index system of naval gun is constructed based on the stratified structure of the monitoring index.The monitoring index system,which provides the technical approaches for the researching and applying of data driven PHM for naval gun,is conformed to structural feature and usage and maintenance requirements of medium and large caliber naval gun.
引文
[1]彭宇,刘大同.数据驱动故障预测和健康管理综述[J].仪器仪表学报,2014,35(3):482-495.
[2]彭宇,刘大同,彭喜元.故障预测与健康管理技术综述[J].电子测量与仪器学报,2010,24(1):1-9.
[3]吕琛,马剑,王自力.PHM技术国内外发展情况综述[J].计算机测量与控制,2016,24(9):1-4.
[4]刘志伟,刘锐,徐劲松,等.复杂系统故障预测与健康管理(PHM)技术研究[J].计算机测量与控制,2010,18(12):2687-2689.
[5]翟梅杰,丛华,冯辅周,等.装甲车辆PHM系统性能度量指标体系构建[J].装甲兵工程学院学报,2017,31(2):53-59.
[6]周林,赵杰,冯广飞.装备故障预测与健康管理技术[M].北京:国防工业出版社,2015.
[7]杨述明,邱静,刘冠军,等.面向装备健康管理的可测性指标研究[J].国防科技大学学报,2012,34(2):72-77.
[8]张月雷.机械系统可监测性设计理论及在船舶机械中的应用研究[D].武汉:武汉理工大学,2011:14-20.
[9]胡涛,吕瑞强,刘章龙.基于灰色聚类的多机种保障装备保障能力评估[J].火力与指挥控制,2016,41(12):101-104.
[10]翟梅杰,高鹏.基于PCA的装甲车辆PHM系统性能度量指标筛选[J].失效分析与预防,2017,12(5):299-303.
[11]雷亚国.混合智能技术及其在故障诊断中的应用研究[D].西安:西安交通大学,2007:81-105.
[2]彭宇,刘大同,彭喜元.故障预测与健康管理技术综述[J].电子测量与仪器学报,2010,24(1):1-9.
[3]吕琛,马剑,王自力.PHM技术国内外发展情况综述[J].计算机测量与控制,2016,24(9):1-4.
[4]刘志伟,刘锐,徐劲松,等.复杂系统故障预测与健康管理(PHM)技术研究[J].计算机测量与控制,2010,18(12):2687-2689.
[5]翟梅杰,丛华,冯辅周,等.装甲车辆PHM系统性能度量指标体系构建[J].装甲兵工程学院学报,2017,31(2):53-59.
[6]周林,赵杰,冯广飞.装备故障预测与健康管理技术[M].北京:国防工业出版社,2015.
[7]杨述明,邱静,刘冠军,等.面向装备健康管理的可测性指标研究[J].国防科技大学学报,2012,34(2):72-77.
[8]张月雷.机械系统可监测性设计理论及在船舶机械中的应用研究[D].武汉:武汉理工大学,2011:14-20.
[9]胡涛,吕瑞强,刘章龙.基于灰色聚类的多机种保障装备保障能力评估[J].火力与指挥控制,2016,41(12):101-104.
[10]翟梅杰,高鹏.基于PCA的装甲车辆PHM系统性能度量指标筛选[J].失效分析与预防,2017,12(5):299-303.
[11]雷亚国.混合智能技术及其在故障诊断中的应用研究[D].西安:西安交通大学,2007:81-105.