Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accide...Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.展开更多
Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating proce...Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating process. In this paper, the conception of time stress and prognostics and health management （ PHM） system are introduced. Then, in order to improve the false alarm recognition and fault prediction capabilities of the electromechanical equipment, a novel PHM architecture for electromechanical equipment is put forward based on a built-in test （BIT） system design technology and time stress analysis method. Finally, the structure, the design and implementing method and the functions of each module of this PHM system are described in detail.展开更多
针对国内缺少故障预测与健康管理(prognostics and health management,PHM)验证评估平台的现状,在深入研究国外典型PHM测试床基础上,以飞机典型机电子系统——燃油测量系统为例,提出PHM测试床设计方案,采用NI虚拟仪器和PXI总线模块仪器...针对国内缺少故障预测与健康管理(prognostics and health management,PHM)验证评估平台的现状,在深入研究国外典型PHM测试床基础上,以飞机典型机电子系统——燃油测量系统为例,提出PHM测试床设计方案,采用NI虚拟仪器和PXI总线模块仪器设计并实现PHM测试床故障注入功能,解决PHM验证中数据源匮乏的问题。实验表明:系统能有效再现故障模式,为PHM技术提供验证评估平台,对机电系统PHM通用化验证平台研究有参考价值。展开更多
某型火炮火力系统PHM(prognostic and health management,故障预测与健康管理)进行信号预处理时,计算量大、实时性要求高,现有PHM使用的嵌入式通用CPU平台计算方案无法满足其对运算性能的要求。为此该文研究了一种基于ZYNQ软硬件协同计...某型火炮火力系统PHM(prognostic and health management,故障预测与健康管理)进行信号预处理时,计算量大、实时性要求高,现有PHM使用的嵌入式通用CPU平台计算方案无法满足其对运算性能的要求。为此该文研究了一种基于ZYNQ软硬件协同计算的PHM信号快速处理方法,该方法使用FPGA流水线实现卷积计算,使单个时钟周期能够完成16次MAC(multiply accumulate,乘累加)计算,从而提升运算效率。以邻域均值降噪算法为例,在180 MHz的工作频率下,该方法可使ZYNQ平均运算速度达到1.62 GMAC/s,相较目前常用的PC端通用CPU AMD 5800H处理器实现了约5倍加速。展开更多
基金Fundamental Research Funds for the Central Universities,China(No.DUT17GF214)
文摘Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.
文摘Time stress includes all kinds of environment and operating stress such as shock, vibration, temperature and electric current that the electromechanical system suffers in the manufacture, transport and operating process. In this paper, the conception of time stress and prognostics and health management （ PHM） system are introduced. Then, in order to improve the false alarm recognition and fault prediction capabilities of the electromechanical equipment, a novel PHM architecture for electromechanical equipment is put forward based on a built-in test （BIT） system design technology and time stress analysis method. Finally, the structure, the design and implementing method and the functions of each module of this PHM system are described in detail.
文摘针对国内缺少故障预测与健康管理(prognostics and health management,PHM)验证评估平台的现状,在深入研究国外典型PHM测试床基础上,以飞机典型机电子系统——燃油测量系统为例,提出PHM测试床设计方案,采用NI虚拟仪器和PXI总线模块仪器设计并实现PHM测试床故障注入功能,解决PHM验证中数据源匮乏的问题。实验表明:系统能有效再现故障模式,为PHM技术提供验证评估平台,对机电系统PHM通用化验证平台研究有参考价值。
文摘某型火炮火力系统PHM(prognostic and health management,故障预测与健康管理)进行信号预处理时,计算量大、实时性要求高,现有PHM使用的嵌入式通用CPU平台计算方案无法满足其对运算性能的要求。为此该文研究了一种基于ZYNQ软硬件协同计算的PHM信号快速处理方法,该方法使用FPGA流水线实现卷积计算,使单个时钟周期能够完成16次MAC(multiply accumulate,乘累加)计算,从而提升运算效率。以邻域均值降噪算法为例,在180 MHz的工作频率下,该方法可使ZYNQ平均运算速度达到1.62 GMAC/s,相较目前常用的PC端通用CPU AMD 5800H处理器实现了约5倍加速。
