提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与...提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与结构等信息,建立系统健康状态-广义测试相关性矩阵;其次,利用贝叶斯理论,建立基于HSGT的健康状态评估推理模型;最后,使用蒙特卡洛方法生成包含8个被测单元(unit under test,简称UUT)的系统,对所提技术的有效性及可行性进行了仿真验证。结果表明,提出的健康状态评估技术能根据系统测试输出结果,及时、准确地推理出系统中各个UUT的健康状态,评估结果能在故障加剧导致的功能失效前有效触发视情维修(condition based maintenance,简称CBM)的维修决策机制。展开更多
For the investigation of mechanical properties of the bimrocks with high rock block proportion,a series of laboratory experiments,including resonance frequency and uniaxial compressive tests,are conducted on the 64 fa...For the investigation of mechanical properties of the bimrocks with high rock block proportion,a series of laboratory experiments,including resonance frequency and uniaxial compressive tests,are conducted on the 64 fabricated bimrocks specimens.The results demonstrate that dynamic elastic modulus is strongly correlated with the uniaxial compressive strength,elastic modulus and block proportions of the bimrocks.In addition,the density of the bimrocks has a good correlation with the mechanical properties of cases with varying block proportions.Thus,three crucial indices(including matrix strength)are used as basic input parameters for the prediction of the mechanical properties of the bimrocks.Other than adopting the traditional simple regression and multi-regression analyses,a new prediction model based on the optimized general regression neural network(GRNN)algorithm is proposed.Note that,the performance of the multi-regression prediction model is better than that of the simple regression model,owing to the consideration of various influencing factors.However,the comparison between model predictions indicates that the optimized GRNN model performs better than the multi-regression model does.Model validation and verification based on fabricated data and experimental data from the literature are performed to verify the predictability and applicability of the proposed optimized GRNN model.展开更多
In [ 1 ], the convexity, existence of selectors and Radon-Nikodym derivative of a set-valued measure have been developed . This paper is to invetigate the structure and extension of a compact set-valued measure.
The one-sided and two-sided hypotheses about the parametric component in partially linear model are considered in this paper. Generalized p-values are proposed based on fiducial method for testing the two hypotheses a...The one-sided and two-sided hypotheses about the parametric component in partially linear model are considered in this paper. Generalized p-values are proposed based on fiducial method for testing the two hypotheses at the presence of nonparametric nuisance parameter. Note that the nonparametric component can be approximated by a linear combination of some known functions, thus, the partially linear model can be approximated by a linear model. Thereby, generalized p-values for a linear model are studied first, and then the results are extended to the situation of partially linear model. Small sample frequency properties are analyzed theoretically. Meanwhile, simulations are conducted to assess the finite sample performance of the tests based on the proposed p-values.展开更多
文摘提出了基于健康状态-广义测试相关性(health state-general test,简称HSGT)的健康状态评估技术。首先,根据维修要求将故障严重程度划分成多个离散的健康状态,再按测试输出属性,将测试划分为一系列区间值的广义测试,进而结合系统功能与结构等信息,建立系统健康状态-广义测试相关性矩阵;其次,利用贝叶斯理论,建立基于HSGT的健康状态评估推理模型;最后,使用蒙特卡洛方法生成包含8个被测单元(unit under test,简称UUT)的系统,对所提技术的有效性及可行性进行了仿真验证。结果表明,提出的健康状态评估技术能根据系统测试输出结果,及时、准确地推理出系统中各个UUT的健康状态,评估结果能在故障加剧导致的功能失效前有效触发视情维修(condition based maintenance,简称CBM)的维修决策机制。
基金Projects(51978669,U1734208)supported by the National Natural Science Foundation of ChinaProject(2018JJ3657)supported by Natural Science Foundation of Hunan Province,China
文摘For the investigation of mechanical properties of the bimrocks with high rock block proportion,a series of laboratory experiments,including resonance frequency and uniaxial compressive tests,are conducted on the 64 fabricated bimrocks specimens.The results demonstrate that dynamic elastic modulus is strongly correlated with the uniaxial compressive strength,elastic modulus and block proportions of the bimrocks.In addition,the density of the bimrocks has a good correlation with the mechanical properties of cases with varying block proportions.Thus,three crucial indices(including matrix strength)are used as basic input parameters for the prediction of the mechanical properties of the bimrocks.Other than adopting the traditional simple regression and multi-regression analyses,a new prediction model based on the optimized general regression neural network(GRNN)algorithm is proposed.Note that,the performance of the multi-regression prediction model is better than that of the simple regression model,owing to the consideration of various influencing factors.However,the comparison between model predictions indicates that the optimized GRNN model performs better than the multi-regression model does.Model validation and verification based on fabricated data and experimental data from the literature are performed to verify the predictability and applicability of the proposed optimized GRNN model.
基金The Project Supported by National Natural Science Foundation of China
文摘In [ 1 ], the convexity, existence of selectors and Radon-Nikodym derivative of a set-valued measure have been developed . This paper is to invetigate the structure and extension of a compact set-valued measure.
基金This research is supported by the National Natural Science Foundation of China under Grant No. 10771015 and the Start-Up Funds for Doctoral Scientific Research of Shandong University of Finance.
文摘The one-sided and two-sided hypotheses about the parametric component in partially linear model are considered in this paper. Generalized p-values are proposed based on fiducial method for testing the two hypotheses at the presence of nonparametric nuisance parameter. Note that the nonparametric component can be approximated by a linear combination of some known functions, thus, the partially linear model can be approximated by a linear model. Thereby, generalized p-values for a linear model are studied first, and then the results are extended to the situation of partially linear model. Small sample frequency properties are analyzed theoretically. Meanwhile, simulations are conducted to assess the finite sample performance of the tests based on the proposed p-values.
