Research and design of an expert diagnosis system for rail vehicle driven by data mechanism models

Purpose-The aim of this work is to research and design an expert diagnosis system for rail vehicle driven by data mechanism models.Design/methodology/approach-The expert diagnosis system utilizes statistical and deep learning methods to model the real-time status and historical data features of rail vehicle.Based on data mechanism models,it predicts the lifespan of key components,evaluates the health status of the vehicle and achieves intelligent monitoring and diagnosis of rail vehicle.Findings-The actual operation effect of this system shows that it has improved the intelligent level of the rail vehicle monitoring system,which helps operators to monitor the operation of vehicle online,predict potential risks and faults of vehicle and ensure the smooth and safe operation of vehicle.Originality/value-This system improves the efficiency of rail vehicle operation,scheduling and maintenance through intelligent monitoring and diagnosis of rail vehicle.

Application of local wave ti me-frequency method in reciprocating mechanical fault diagnosis

To diagnosethe reciprocating mechanical fault.We utilizedlocal waveti me-frequency approach.Firstly,we gave the principle.Secondly,the application of local wave ti me-frequency was given.Finally,we discusseditsvirtue in reciprocating mechanical fault diagnosis.

Improved CICA Algorithm Used for Single Channel Compound Fault Diagnosis of Rolling Bearings

A Compound fault signal usually contains multiple characteristic signals and strong confusion noise, which makes it difficult to separate week fault signals from them through conventional ways, such as FFT-based envelope detection, wavelet transform or empirical mode decomposition individually. In order to realize single channel compound fault diagnosis of bearings and improve the diagnosis accuracy, an improved CICA algorithm named constrained independent component analysis based on the energy method （E-CICA） is proposed. With the approach, the single channel vibration signal is firstly decomposed into several wavelet coefficients by discrete wavelet transform（DWT） method for the purpose of obtaining multichannel signals. Then the envelope signals of the reconstructed wavelet coefficients are selected as the input of E-CICA algorithm, which fulfills the requirements that the number of sensors is greater than or equal to that of the source signals and makes it more suitable to be processed by CICA strategy. The frequency energy ratio（ER） of each wavelet reconstructed signal to the total energy of the given synchronous signal is calculated, and then the synchronous signal with maximum ER value is set as the reference signal accordingly. By this way, the reference signal contains a priori knowledge of fault source signal and the influence on fault signal extraction accuracy which is caused by the initial phase angle and the duty ratio of the reference signal in the traditional CICA algorithm is avoided. Experimental results show that E-CICA algorithm can effectively separate out the outer-race defect and the rollers defect from the single channel compound fault and fulfill the needs of compound fault diagnosis of rolling bearings, and the running time is 0.12% of that of the traditional CICA algorithm and the extraction accuracy is 1.4 times of that of CICA as well. The proposed research provides a new method to separate single channel compound fault signals.

Clinical Intelligent Diagnosis Path Based on the Chief Complaint

Goals of traditional Chinese medicine(TCM)include precision,accuracy,and recognition by clinical practice.Establishment of a diagnosis and treatment system that closely conforms to the principle-method-recipe-medicines system and derivation of an accurate diagnosis and treatment plan should be considerations of TCM.Artificial intelligence research based on computer technology is one of the effective ways to solve this problem.In the research of intelligent diagnosis path,reflecting the characteristics of the overall view and dialectical treatment of TCM such as"Combination of four diagnostic methods""overall examination""combination of disease and syndrome"and"treatment individualized to patient,season and locality"are key for successful research of artificial intelligence in TCM diagnosis or recognition by clinical practice.

Design and implementation of an expert system for remote fault diagnosis in ship lift

In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structure, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.

Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.

INTEGRATED ANALYSIS APPROACHES TO ROCK MECHANICS PROBLEMS

In order to effectively cope with exponent increase of the complexity faced to the rock mechanics analysis problems and the large incompatibility existing between the information level required to model the rock mass and engineering and our obtainable information level at hand,the integrated approaches with intelligent characters are proposed. Many previous standard methods,such as precedent type analysis,rock classification,analytic method stress-based,basic numerical methods (BEM,FEM,DEM,hybrid),and their extended numerical methods (fully coupled) to be developed,can be selected respectively or integrated accordingly. It is alternative to develop basic/fully integrated system,and internet-based approaches. These novel methods can also be selected or integrated each other or with the standard methods to perform rock mechanics analysis. Some key techniques to develop these alternative methods are discussed. It may focus in future on developing fully integrated systems and internet-based approaches. Developing an environmental,virtual facility/space shall be firstly done for this collaborative research on internet.

Optical analysis method for fast plasma characterization of high-speed miniaturized synthetic jet

In this paper,a new optical analysis method for plasma characterization is proposed.Plasma characteristics are obtained directly by measuring the plasma luminous color,rather than the complex spectral diagnosis method,which is difficult to obtain at high speed.By using the light transmittance curve of the human cornea,the RGB coordinates are calculated from the measured plasma spectrum data.Plasma characteristics are diagnosed using the Boltzmann plot method and the Stark broadening method.The corresponding relationship of the electron temperature,electron density data points,and luminous color is established and analyzed.Our research results indicate that this optical analysis method is feasible and promising for fast plasma characterization.

DIP付费下抑郁症患者住院费用的结构变动及灰色关联分析——以江苏省扬州市某综合性医院为例

[目的]分析综合性医院心理科按病种分值付费(DIP)改革前后抑郁症患者住院费用的变化情况,为完善医保支付方式改革提供实证数据支持。[方法]将样本医院DIP实际执行时间收集抑郁症住院患者分为改革前和改革后两组,采用卡方检验对基本信息进行组间差异性分析;采用结构变动分析和灰色关联分析抑郁症患者次均住院总费用和分项费用变化情况。[结果]DIP改革前后,患者年龄、性别差异无统计学意义(P>0.05);改革后住院天数缩短(P<0.05),次均住院总费用下降(P<0.01);结构变动分析显示2021-2023年抑郁症患者次均住院费用结构变动度(DSV)为33.08%,变动较大;单项次均住院费用结构变动贡献率(CSV)排名前3的是治疗费、医技诊断项目费和药品费,是导致抑郁症患者住院费用变动的主要影响因素。灰色关联分析显示患者次均住院费用中治疗费与总费用的关联系数度为0.930,关联度最高。[结论]DIP改革对优化住院费用结构、缩短平均住院日、降低总费用、提高医务人员合理控费有促进意义,但仍有进一步提升的空间。

心脏神经症中医诊疗专家共识

心脏神经症是一种心血管症状与自主神经兴奋表现共同出现的神经症,中医药治疗心脏神经症效果明确,临床应用广泛,但临床诊疗并未达成一致的共识,对临床诊疗的有效性和规范性造成了一定的限制。因此中国中医药研究促进会心身医学专业委员会组织全国范围内30余位心血管或心身医学领域专家制定心脏神经症中医诊疗专家共识,推荐心脏神经症对应中医病名为卑惵,其核心症状为心悸、心前区疼痛、胸闷、气短、失眠、心烦、抑郁、焦虑、恐惧、情绪难以控制等,其证候主要包括肝郁脾虚证、肝火扰心证、气滞血瘀证、痰火扰心证、心胆气虚证、心肝阴虚证。中医药治疗心脏神经症效果确切、不良反应少,明确辨证论治纲要后对临床诊疗有较高的指导作用。

山东省日照市蓝色经济区工程建设适宜性评价

本文以山东省日照市蓝色经济区为研究区,通过野外地质调查和室内综合分析,选取场地稳定性、工程地质条件、地下水条件,地形排水条件、地质灾害及其他因素6个一级评价因子,构造活动、场地土类型、建筑场地类别等13个二级评价因子,利用专家-层次分析定权法进行区内工程建设适宜性评价,得到了相应工程建设评价分区图。评价结果表明,日照市场地工程建设适宜性总体较好,大部分地区适宜进行高层建筑工程建设,占84.50%;地下空间开发利用条件优越,全区多数地区属于城市地下空间建设适宜区,适宜性差及不适宜区主要分布在付疃河两岸附近和海岸附近、大型高速公路和铁路沿线一带区域及城区;轨道交通建设适宜性良好,小部分不适宜区主要集中在付疃河下游夹仓和小古镇一带及其沿海地区。评价结果可有效地服务于该地区规划布局、建设发展和工程选址,具有重要的理论和实践指导意义。

基于动态灰色关联分析法的高压断路器机械故障诊断

高压断路器机械故障成因复杂,机械故障与分合闸线圈电流之间难以找到解析的映射关系。因此引入灰色关联分析法,建立一种高压断路器机械故障诊断模型,进一步通过计算参考数列与比较数列的距离来选择分辨系数,提出一种基于动态分辨系数的灰色关联分析法。该方法不需要大量样本数据,且算法精度不受信号干扰的影响。研究表明,选取铁心卡涩运动的时间参量相关度作为故障诊断特征量能有效诊断出高压断路器机械故障。

证券网络安全事件应急响应评价研究

网络安全事件应急响应横跨多部门、涉及多层次、覆盖多范围,已成为常态化安全运营中关键链路环节,是证券业务稳定安全运行保障的重要核心支撑.针对证券业传统应急响应能力评价指标不统一且过于主观问题,提出了包含检测响应、止损阻断、分析溯源、清除恢复、加固复验的网络安全事件应急响应流程,涵盖工具运用、日志覆盖、人员技能、职责分工、通报处置、宣传教育指标体系的三级评价模型,运用模糊层次分析法确定各层次指标权重,采用专家判断方法建立评价指标集,引入模糊灰色综合评价方法对证券行业网络安全事件应急响应能力进行评价,并通过实例验证对指标数据进行分析汇总,实现了评价指标的量化展示.

基于结构分析法的塞拉门驱动传动系统故障诊断

为有效诊断塞拉门驱动传动系统故障,对系统关键故障进行参数化表征,建立塞拉门驱动传动系统故障模型,通过结构分析法中的Dulmage-Mendelsohn(DM)分解和故障隔离矩阵分析可知3个关键故障均可检测但均不可隔离。为实现故障可隔离,考虑配置传感器的可实施性和经济性,确定3种传感器配置方案,分析可得配置电枢电流传感器后所有故障均可检测和可隔离。基于结构最小型超定方程集,采用解析冗余法和标准观测器设计4组残差,在软件MATLAB/Simulink中建立故障检测隔离系统仿真模型,4组残差的仿真观测输出响应均与理论分析结果一致,结构分析法应用在塞拉门驱动传动系统故障诊断中可行、有效且正确。

Knowledge Processing Method of Fault Diagnosis Expert Systems for Letter Sorting Equipment

Based on the analysis of fault diagnosis knowledge of letter sorting machine, this paper proposes a processing method by which the fault diagnosis knowledge is divided into exact knowledge, inadequate knowledge and fuzzy knowledge. Then their presenting and implementing form in fault diagnosis expert system is discussed and studied. It is proved that the expert system has good feasibility in the field of the diagnosis of letter sorting machine.

基于FTA法的大众迈腾发动机起动故障研究

大众迈腾发动机不能起动的影响因素错综复杂,需要寻求一种新的方法来提高诊断的有效性。故障树分析法(Fault Tree Analysis,FTA)为科学诊断电控发动机这种复杂的动力机械提供了新思路。以起动控制逻辑作为构建故障树的基础,分析了迈腾B8L2.0T发动机从按下E378到起动机驱动齿轮带动飞轮旋转的整个过程,建立了“起动机不能运转”和“起动机运转但发动机不能起动”故障树,依据各个事件内在的控制规律设计了故障诊断流程。实验结果表明:故障树模型符合大众迈腾发动机的工作机理,根据故障诊断流程能够准确锁定迈腾发动机不能起动的故障部位。

股道管理自动化故障诊断系统设计及应用

股道管理自动化系统能够完成站场内所有信号设备的控制,涵盖整备场股道、联锁信号、道岔控制、车辆监控等内容,倘若其在运行过程中系统联锁出现问题,不能及时进行修复,将会影响铁路工作的运输效率,甚至造成重大的灾难性事故。因此,故障诊断及处理的实时性是该系统运维过程中最重要的一环。为提高该系统长期稳定运行,提出一种基于故障树分析结果研发的股道管理自动化故障诊断系统,首先对系统结构进行分析,了解信号机、轨道电路、道岔的工作流程;然后利用故障树分析法对股道管理自动化系统建立故障树,逐层分析故障原因,列出所有底事件,进一步对故障进行定性定量分析,从中找出系统的薄弱环节,制定故障解决策略方案;最后依据故障树结果开发出故障诊断系统软件。通过测试,股道自动化系统故障诊断软件故障筛查及确认度可达100%,故障处理时间提高75%,故障处理人员减少70%。实践证明,故障诊断系统为股道管理自动化系统的检修、运维、故障诊断提供理论基础及指导,实现该系统在运维中故障的快速识别与诊断分析。

核事故辐射损伤伤员快速分类诊断方法研究

目的建立核事故辐射损伤伤员受照剂量快速诊断方法,并编写快速分类诊断程序。方法采用德尔菲(Delphi)专家咨询法进行2轮咨询,筛选诊断指标,应用层次分析(AHP)法确立指标权重,将其与评价指标的程度分级相结合,建立核事故辐射损伤伤员快速分类诊断方法。结果2轮问卷调查的回收率均大于90%,2轮咨询专家的权威系数均大于0.8,专家的积极程度和权威程度均较高。经过2轮专家咨询,筛选出15项指标,并确定各项指标的权重,最终构建了一套简明实用的核事故辐射损伤伤员快速分类诊断方法及程序。结论通过Delphi法和AHP法结合,构建的快速分类诊断方法科学可行,能为核事故辐射损伤伤员快速分类诊断提供客观、可量化的依据。

基于响应面法的应变测量精度因子的分析与优化

应变计是诊断结构杆件健康状态的重要传感器,不同应变计其测量精度不同,为研究应变计达到更高测量精度所要求的条件,对应变计敏感栅结构参数及所处的环境温度进行了优化分析。首先,采用有限元计算方法分析了敏感栅栅丝长度、栅丝长宽比以及温度对测量精度的影响;然后,利用design-expert建立了测量精度的响应面模型,并利用评价函数法对响应面模型进行了优化,得到了最优的参数组合;最后,通过格构式杆件的拉压试验进行了优化验证。研究结果表明:敏感栅长宽比存在中间最优值;测量精度不随敏感栅长度的增加而提高;25℃是较佳的测量环境温度;利用评价函数法对响应面模型优化得到了最优参数组合,即L=4 mm,H=2 mm,T=25℃,通过试验验证了优化后的参数组合较优化前使应变计的测量精度有了明显的提高,较优化前提高了3.760%。对建立的应变计测量精度响应面进行优化,可明显降低所研究因子的叠加效应对应变计造成的测量误差,该研究方法为应变计的设计与选择提供了有效依据。

AHP加权TOPSIS结合聚类分析法综合评价不同产地天麻饮片质量

目的:应用层次分析法(AHP)加权逼近理想解排序法(TOPSIS)结合聚类分析法综合评价不同产地天麻饮片质量。方法:按照2020年版《中华人民共和国药典》天麻项下方法对不同产地的52批天麻饮片进行质量检验,以水分、总灰分、二氧化硫残留量、醇溶性浸出物、天麻素和对羟基苯甲醇总量的检验结果为评价指标,通过专家评分结合AHP法确定各评价指标权重,5个评价指标的权重分别为0.0441、0.0759、0.1436、0.2681、0.4684。运用TOPSIS法结合聚类分析法对评价指标进行分析。结果:TOPSIS分析显示,52批天麻饮片的相对贴近度(Ci)值在0.0585~0.8242之间,中位值为0.1962,表明天麻饮片质量整体波动较大,总体质量一般。Ci值大于0.5的仅有1批(Y44),表明该批次天麻饮片质量明显优于其他批次。聚类分析显示,当类间距为5时52批天麻饮片被分为3类,Y44单独归为一类,Y11、Y28、Y40、Y42、Y6、Y8、Y12、Y13、Y15、Y17、Y35、Y50、Y51为第二类,剩余38批为第三类。两种方法结果表明市售天麻饮片质量波动较大,总体质量一般。结论:AHP加权TOPSIS结合聚类分析法可用于不同产地天麻饮片质量的综合评价,方法可行且有效。