Neural networks for nonlinear state estimation

Estimating the state of a nonlinear stochastic system (observed through a nonlinear noisy measurement channel) has been the goal of considerable research to solve both filtering and control problems. In this paper, an original approach to the solution of the optimal state estimation problem by means of neural networks is proposed, which consists in constraining the state estimator to take on the structure of a multilayer feedforward network. Both non-recursive and recursive estimation schemes are considered, which enable one to reduce the original functional problem to a nonlinear programming one. As this reduction entails approximations for the optimal estimation strategy, quantitative results on the accuracy of such approximations are reported. Simulation results confirm the effectiveness of the proposed method.     

An algorithm for architecture partitioning in high-speed networks with bursty traffic

This paper analyzes the performance of a switching architecture. The performance measures include the elapsed time of packet transfer and the waiting time to begin transfer. The architecture is partitioned depending on the type of network used and the expected traffic in the network. Every partition has a switch with a buffer that can absorb surges of bursty traffic within the network partition. The buffer size depends on the type of the network and incoming traffic. The partition size depends on the network bandwidth, network traffic, packet size and buffer size. Examples of different networks are used to show the applications of the model. The results show that the elapsed time of packet switch transfer depends exponentially on the number of partitions in the network.     

A method of identifying latent human errors in work systems

Work system improvements are implemented in various manufacturing processes to prevent problems caused by human errors. However, they are almost always applied to problems which have already occurred. This paper examines a method of identifying latent human errors existing within the work systems beforehand. A procedure for applying failure mode and effect analysis to this identification problem was defined based on over 1000 empirical errors: a work system decomposition criterion and fundamental error modes for listing latent human errors, and then applied to three practical manufacturing processes in order to evaluate its effectiveness.     

广东核电站ATWS事故分析研究

针对广东核电站给出了具有包络意义的三类ＡＴＷＳ分析结果，它们是：失去主给水ＡＴＷＳ（ＬＯＦＷ－ＡＴＷＳ）、失去非应急交流电源ＡＴＷＳ（ＬＯＮＥＰ－ＡＴＷＳ）、控制棒失控提升ＡＴＷＳ（ＵＣＲＷ－ＡＴＷＳ），并与广东最终安全分析报告所提供的ＡＴＷＳ分析做了比较，最后对其中后果较为严重的ＬＯＦＷ－ＡＴＷＳ作了部分参数的敏感性分析，并对低于３０％功率下的ＬＯＦＷ－ＡＴＷＳ作了讨论。     

双塔脱丙烷工艺技术

对扬子乙烯装置双塔脱丙烷系统低压塔液泛、高压塔再沸器堵塞等问题进行了技术分析,提出了工艺流程修改方案,完善了双塔脱丙烷技术,对同类装置有参考价值。     

DG130/3.82-4型自然循环锅炉水冷壁管爆管技术分析

对水冷壁管同一根、同一区域发生的两起爆管事故进行失效分析 ,研究爆管机理 ,找出了爆管原因 ,提出了预防措施     

COATES GRAPH APPROACH FOR GENERATING SYMBOLIC NETWORK FUNCTION

In this paper, symbolic code matrix ,constant matrix and count matrix are defined .The first twomatrices are used to describe the elemental expression of augmented matrix and the nede admittance equa-tion is thus obtained. The third matrix is used to obtain the incoming degree matrix, and according to thematrix all the 1- factors of the Coates graph are given. By using the data code, the determinant is expandedand the same items in the expansion are merged. Thus the symbolic network function in which no term can-cellation occurs is generated.     

NADRA 3D information technology for analysis of processes in multicomponent soil media

This paper considers the principles of algorithmic and software implementation of the software system NADRA 3D designed to analyze processes in three-dimensional multicomponent soil media. The principles of operation of NADRA 3D are described. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 157–174, November–December 2006.     

中变催化剂失活典型事例剖析

通过2起中变催化剂失活的事件，从理论上剖析其根源，并探讨防范的对策。     

换热器小浮头螺栓断裂失效分析

针对换热器小浮头螺栓发生断裂的情况进行失效分析，找出原因，提出处理措施及材质选择时应注意的问题。