一种基于时间分层决策矩阵的综合评价算法

综合评价系统用四元总体（A，Z，X^(k)，D）表示，其中决策矩阵X^(k)是具有对象维i,指标维j,时间维k的三维矩阵，将三维矩阵X（k)按时间划分形成m个二维矩阵，每个二维矩阵分别代表每个年度n个评价对象对应于p个指标的属性集，讨论了按时间分层决策矩阵的多指标综合评价问题，描述了按时间分层的决策矩阵的求解算法，并采用Visual Foxpro数据库语言编程实现。     

崇礼东坪黄金公司缓倾斜薄矿体采空区综合治理

在采空区调查的基础上,以FLAC工程力学分析软件为手段,应用“诱导崩落和封闭采空区综合治理”理论,进行缓倾斜薄矿体采空区综合治理研究.该项研究与实践为缓薄矿体采空区综合治理提供了可供借鉴的经验,并为矿山创造了可观的经济效益.     

韩江凹陷重磁资料综合地球物理解释

通过对韩江凹陷重磁异常、地震剖面以及周边地质资料综合分析认为,在韩江凹陷内确定断裂12条,其基底岩性由四种类型组成——中生代酸性—中性岩浆岩、中生代中基性岩浆岩、中生代中酸性火山岩夹沉积岩及时代未定地层.     

两栖装甲装备故障诊断智能检测系统设计

针对目前两栖装甲装备故障检测时间长、检测效率低的缺点,研究设计了一种两栖装甲装备故障诊断智能检测系统。系统充分利用现代最新发展的大规模集成电路技术和数字处理技术,对多发、易发故障部位的故障信号进行采样、检测及处理,从而快速确定故障部位,便于及时排除故障。     

重症监护病房紧急状况预警算法

重症监护病房中的病人身体状况通常很不稳定,常出现各种需要医护人员介入治疗的紧急状况。由于医疗资源有限,医护人员可能无法及时发现并处理这些紧急状况,给病人的存活率带来严重的负面影响。如果可以预测这些紧急状况的发生,并及时通知相关医护人员,将大大提高病人的存活率。常见重症监护病房紧急状况包括突然死亡、败血症、肺部感染、急性低血压、以及器官衰竭等。紧急状况预警建模主要采用病人的长时间生命体征监测数据,预测在一定时间之后发生某种紧急状况的可能性。预警模型所采用的监测数据分为静态数据、事件数据和时间序列数据等三类。静态数据具有容易采集、但预测准确性偏低的特点。事件数据或时间序列数据、以及多种类型数据的混合数据对于紧急状况预警模型的预测性能的提高有重要作用,将会获得更广泛的应用。     

神华乌海能源公司安全监控系统联网建设解读

神华乌海能源公司(以下简称"公司")在安全监控联网系统的开发过程中,针对可能出现的各种问题,提出了综合性的联网解决方案。同时又通过强有力的管理手段,保障了系统的稳定可靠运行,使系统达到了预期的应用效果,提升了公司的安全管理水平。     

An intelligent hybrid approach for hepatitis disease diagnosis: Combining enhanced k‐means clustering and improved ensemble learning

In real world, the automatic detection of liver disease is a challenging problem among medical practitioners. The intent of this work is to propose an intelligent hybrid approach for the diagnosis of hepatitis disease. The diagnosis is performed with the combination of k‐means clustering and improved ensemble‐driven learning. To avoid clinical experience and to reduce the evaluation time, ensemble learning is deployed, which constructs a set of hypotheses by using multiple learners to solve a liver disease problem. The performance analysis of the proposed integrated hybrid system is compared in terms of accuracy, true positive rate, precision, f‐measure, kappa statistic, mean absolute error, and root mean squared error. Simulation results showed that the enhanced k‐means clustering and improved ensemble learning with enhanced adaptive boosting, bagged decision tree, and J48 decision tree‐based intelligent hybrid approach achieved better prediction outcomes than other existing individual and integrated methods.     

基于神经网络观测器的飞控传感器在线故障诊断

为提高无人机飞行安全可靠性,针对飞行控制系统中常出现的传感器故障以及非线性气动力模型参数难以确定的问题,提出了基于BP神经网络观测器估计的故障诊断方法;引用LM改进算法对网络参数进行调整,构造了神经网络观测器模型逼近非线性系统,并运用于飞行控制系统进行在线数字仿真,对垂直陀螺输出卡死故障、恒偏差故障和恒增益故障分别进行仿真分析;仿真结果表明,所设计神经网络观测器可以有效估计系统输出,在线诊断传感器故障。     

Soft computing approach to fault diagnosis of centrifugal pump

Fault detection and isolation in rotating machinery is very important from an industrial viewpoint as it can help in maintenance activities and significantly reduce the down-time of the machine, resulting in major cost savings. Traditional methods have been found to be not very accurate. Soft computing based methods are now being increasingly employed for the purpose. The proposed method is based on a genetic programming technique which is known as gene expression programming (GEP). GEP is somewhat a new member of the genetic programming family. The main objective of this paper is to compare the classification accuracy of the proposed evolutionary computing based method with other pattern classification approaches such as support vector machine (SVM), Wavelet-GEP, and proximal support vector machine (PSVM). For this purpose, six states viz., normal, bearing fault, impeller fault, seal fault, impeller and bearing fault together, cavitation are simulated on centrifugal pump. Decision tree algorithm is used to select the features. The results obtained using GEP is compared with the performance of Wavelet-GEP, support vector machine (SVM) and proximal support vector machine (PSVM) based classifiers. It is observed that both GEP and SVM equally outperform the other two classifiers (PSVM and Wavelet-GEP) considered in the present study.     

港口机车故障监测与诊断系统研究

针对港口机车运行现状,介绍了一种基于Visual Basic语言和Microsoft SQL Server2000数据库的机车故障监测与诊断系统的研究。该系统通过传感器采集数据信息,经预处理后,通过无线网络将整合数据传送给计算机,最后利用知识库对数据进行处理分析以及显示。该系统具有设计简单、操作方便、界面友好及可靠性好等特点。