A Bayesian sequential testing method is proposed to evaluate system reliability index with reliability growth during development.The method develops a reliability growth model of repairable systems for failure censore...A Bayesian sequential testing method is proposed to evaluate system reliability index with reliability growth during development.The method develops a reliability growth model of repairable systems for failure censored test,and figures out the approach to determine the prior distribution of the system failure rate by applying the reliability growth model to incorporate the multistage test data collected from system development.Furthermore,the procedure for the Bayesian sequential testing is derived for the failure rate of the exponential life system,which enables the decision to terminate or continue development test.Finally,a numerical example is given to illustrate the efficiency of the proposed model and procedure.展开更多
为合理评价污染场地风险,以我国云南省某铜堆浸场下游农田土为例,测定土壤中Cu、Pb、Cd和As等4种重金属总量,采用改进BCR(Bureau of European Communities Reference)连续提取法测定4种重金属赋存形态,分析4种重金属间的相关性,并使用...为合理评价污染场地风险,以我国云南省某铜堆浸场下游农田土为例,测定土壤中Cu、Pb、Cd和As等4种重金属总量,采用改进BCR(Bureau of European Communities Reference)连续提取法测定4种重金属赋存形态,分析4种重金属间的相关性,并使用地累积指数法、次生相与原生相比值法(RSP)和风险评价编码法(RAC)对场地土壤重金属污染和潜在风险程度进行评价。结果发现,重金属Cu、Pb、Cd和As平均的含量分别为39.50、46.98、0.16、82.67mg⋅kg^(-1),较云南省重金属背景值,4种重金属超标率分别为0、83.33%、33.33%和100.00%,其中As污染需要特别关注;提取重金属赋存形态结果显示,土样中Cu、Pb、Cd和As均以残渣态为主,占比为83.14%~95.62%,表明4种重金属均以稳定形态存在于土体中;对比3种评价方法,评价结果存在明显差异,地累积指数Igeo结果显示土壤仅As存在污染超标现象,其余3种重金属均无污染,次生相与原生相比值法结果显示,4种重金属对环境均无污染,而风险评价编码法结果显示,Cd对土壤环境存在低风险,其余3种重金属则无风险。对比发现,仅以污染场地土壤重金属总量作为评价指标会一定程度夸大污染风险,应综合重金属总量及赋存形态含量进行分析。虽然重金属元素污染总量较高,但活跃性重金属含量非常低,向环境中扩散的风险也非常低。因此,研究区重金属污染程度较轻,潜在生态风险为低风险。展开更多
An approach for parameter estimation of proportional-integral-derivative(PID) control system using a new nonlinear programming(NLP) algorithm was proposed.SQP/IIPM algorithm is a sequential quadratic programming(SQP) ...An approach for parameter estimation of proportional-integral-derivative(PID) control system using a new nonlinear programming(NLP) algorithm was proposed.SQP/IIPM algorithm is a sequential quadratic programming(SQP) based algorithm that derives its search directions by solving quadratic programming(QP) subproblems via an infeasible interior point method(IIPM) and evaluates step length adaptively via a simple line search and/or a quadratic search algorithm depending on the termination of the IIPM solver.The task of tuning PI/PID parameters for the first-and second-order systems was modeled as constrained NLP problem. SQP/IIPM algorithm was applied to determining the optimum parameters for the PI/PID control systems.To assess the performance of the proposed method,a Matlab simulation of PID controller tuning was conducted to compare the proposed SQP/IIPM algorithm with the gain and phase margin(GPM) method and Ziegler-Nichols(ZN) method.The results reveal that,for both step and impulse response tests,the PI/PID controller using SQP/IIPM optimization algorithm consistently reduce rise time,settling-time and remarkably lower overshoot compared to GPM and ZN methods,and the proposed method improves the robustness and effectiveness of numerical optimization of PID control systems.展开更多
基金supported by the National Natural Science Foundation of China (70571083)the Research Fund for the Doctoral Program of Higher Education of China (20094307110013)
文摘A Bayesian sequential testing method is proposed to evaluate system reliability index with reliability growth during development.The method develops a reliability growth model of repairable systems for failure censored test,and figures out the approach to determine the prior distribution of the system failure rate by applying the reliability growth model to incorporate the multistage test data collected from system development.Furthermore,the procedure for the Bayesian sequential testing is derived for the failure rate of the exponential life system,which enables the decision to terminate or continue development test.Finally,a numerical example is given to illustrate the efficiency of the proposed model and procedure.
文摘为合理评价污染场地风险,以我国云南省某铜堆浸场下游农田土为例,测定土壤中Cu、Pb、Cd和As等4种重金属总量,采用改进BCR(Bureau of European Communities Reference)连续提取法测定4种重金属赋存形态,分析4种重金属间的相关性,并使用地累积指数法、次生相与原生相比值法(RSP)和风险评价编码法(RAC)对场地土壤重金属污染和潜在风险程度进行评价。结果发现,重金属Cu、Pb、Cd和As平均的含量分别为39.50、46.98、0.16、82.67mg⋅kg^(-1),较云南省重金属背景值,4种重金属超标率分别为0、83.33%、33.33%和100.00%,其中As污染需要特别关注;提取重金属赋存形态结果显示,土样中Cu、Pb、Cd和As均以残渣态为主,占比为83.14%~95.62%,表明4种重金属均以稳定形态存在于土体中;对比3种评价方法,评价结果存在明显差异,地累积指数Igeo结果显示土壤仅As存在污染超标现象,其余3种重金属均无污染,次生相与原生相比值法结果显示,4种重金属对环境均无污染,而风险评价编码法结果显示,Cd对土壤环境存在低风险,其余3种重金属则无风险。对比发现,仅以污染场地土壤重金属总量作为评价指标会一定程度夸大污染风险,应综合重金属总量及赋存形态含量进行分析。虽然重金属元素污染总量较高,但活跃性重金属含量非常低,向环境中扩散的风险也非常低。因此,研究区重金属污染程度较轻,潜在生态风险为低风险。
基金Project(60874070) supported by the National Natural Science Foundation of ChinaProject(20070533131) supported by the National Research Foundation for the Doctoral Program of Higher Education of ChinaProject supported by the Scientific Research Foundation for the Returned Overseas Chinese Scholars,Ministry of Education of China
文摘An approach for parameter estimation of proportional-integral-derivative(PID) control system using a new nonlinear programming(NLP) algorithm was proposed.SQP/IIPM algorithm is a sequential quadratic programming(SQP) based algorithm that derives its search directions by solving quadratic programming(QP) subproblems via an infeasible interior point method(IIPM) and evaluates step length adaptively via a simple line search and/or a quadratic search algorithm depending on the termination of the IIPM solver.The task of tuning PI/PID parameters for the first-and second-order systems was modeled as constrained NLP problem. SQP/IIPM algorithm was applied to determining the optimum parameters for the PI/PID control systems.To assess the performance of the proposed method,a Matlab simulation of PID controller tuning was conducted to compare the proposed SQP/IIPM algorithm with the gain and phase margin(GPM) method and Ziegler-Nichols(ZN) method.The results reveal that,for both step and impulse response tests,the PI/PID controller using SQP/IIPM optimization algorithm consistently reduce rise time,settling-time and remarkably lower overshoot compared to GPM and ZN methods,and the proposed method improves the robustness and effectiveness of numerical optimization of PID control systems.
