Zero drift and solid Earth tide corrections to static relative gravirnetric data cannot be ignored. In this paper, a new principal component analysis （PCA） algorithm is presented to extract the zero drift and the so...Zero drift and solid Earth tide corrections to static relative gravirnetric data cannot be ignored. In this paper, a new principal component analysis （PCA） algorithm is presented to extract the zero drift and the solid Earth tide, as signals, from static relative gravimetric data assuming that the components contained in the relative gravimetric data are uncorrelated. Static relative gravity observations from Aug. 15 to Aug. 23, 2014 are used as statistical variables to separate the signal and noise with PCA to obtain desired signals. The results of the linear drift extracted by PCA are consistent with those calculated by the least squares linear fitting, and the differences only reach to 10-2μGal/day order of magnitude. Furthermore, PCA is used to estimate the solid Earth tide from the relative gravimetric data corrected by the zero drift. The statistical results are consistent with the results derived from the solid Earth tide correction provided by the internal software of the CG-5 gravimeter （SCINTREX Limited Ontario Canada）. The statistical results of the differences between the two methods are both less than 8 ,Gal, and the RMSs for 9 days are all less than 5 μGal.展开更多
针对工业4.0场景下AC/DC电源模块监测功能离散化、故障溯源困难等问题,提出一种内置多维度监测的智能电源系统。通过三模采集电路(电压/电流/温度)、动态阈值算法及冗余报警优化设计,构建实时监测网络与维护平台。关键技术突破包括:基...针对工业4.0场景下AC/DC电源模块监测功能离散化、故障溯源困难等问题,提出一种内置多维度监测的智能电源系统。通过三模采集电路(电压/电流/温度)、动态阈值算法及冗余报警优化设计,构建实时监测网络与维护平台。关键技术突破包括:基于霍尔传感器与软件校正的非接触式电流采集方案、双电源协同供电机制、故障预警与动态阈值配置功能。经8000台设备验证,系统将平均修复时间(Mean Time to Repair,MTTR)降低83%,可用性提升至99.99971%。为工业设备电源可靠性提升与智能化运维提供可复用的技术范式。展开更多
基金supported by the National Natural Science Foundation of China(41374009)the Public Benefit Scientific Research Project of China(201412001)+1 种基金the Shandong Natural Science Foundation of China(ZR2013DM009)the SDUST Research Fund(2014TDJH101)
文摘Zero drift and solid Earth tide corrections to static relative gravirnetric data cannot be ignored. In this paper, a new principal component analysis （PCA） algorithm is presented to extract the zero drift and the solid Earth tide, as signals, from static relative gravimetric data assuming that the components contained in the relative gravimetric data are uncorrelated. Static relative gravity observations from Aug. 15 to Aug. 23, 2014 are used as statistical variables to separate the signal and noise with PCA to obtain desired signals. The results of the linear drift extracted by PCA are consistent with those calculated by the least squares linear fitting, and the differences only reach to 10-2μGal/day order of magnitude. Furthermore, PCA is used to estimate the solid Earth tide from the relative gravimetric data corrected by the zero drift. The statistical results are consistent with the results derived from the solid Earth tide correction provided by the internal software of the CG-5 gravimeter （SCINTREX Limited Ontario Canada）. The statistical results of the differences between the two methods are both less than 8 ,Gal, and the RMSs for 9 days are all less than 5 μGal.
文摘针对工业4.0场景下AC/DC电源模块监测功能离散化、故障溯源困难等问题,提出一种内置多维度监测的智能电源系统。通过三模采集电路(电压/电流/温度)、动态阈值算法及冗余报警优化设计,构建实时监测网络与维护平台。关键技术突破包括:基于霍尔传感器与软件校正的非接触式电流采集方案、双电源协同供电机制、故障预警与动态阈值配置功能。经8000台设备验证,系统将平均修复时间(Mean Time to Repair,MTTR)降低83%,可用性提升至99.99971%。为工业设备电源可靠性提升与智能化运维提供可复用的技术范式。
