A Fuzzy Fault Diagnosis Method for Large Radar Based on Directed Graph Model

To meet the requirement of the real-time, accuracy and multi-target diagnosis of the large radar system,a new fuzzy fault diagnosis method based on directed graph model is proposed in this paper. In this method, the large complex system model is defined using the directed graph model firstly, in which the nodes observing the fault by the hierarchical reconstruction of the directed graph are located, then the fault dependency matrix between these nodes and the fault sources are established. And then, we utilize the sensors’ alarm probabilities under different situations to build the characteristic fault observation matrix in the fault observation space. Finally,the optimized corresponding diagnosis method using a fuzzy function, which describes the similarity between the actual observation vector and the fault’s characteristic vector, is designed. The experimental results demonstrate that the proposed method can achieve high diagnosis efficiency and accuracy. It can be widely used in the real radar system.     

基于小波网络的船舶柴油机燃油系统故障诊断

采用小波变换和BP神经网络的辅助式结合,通过小波变换提取故障特征向量作为BP神经网络的输入值,设计并组建了小波神经网络;利用小波变换模极大值分析高压油管燃油压力信号的奇异性,提取故障特征向量;根据故障采集数据并建立学习样本,通过网络训练建立BP神经网络输入和输出间良好的非线性映射,进而通过特征向量输入BP神经网络来诊断故障。实验数据分析表明:该方法具有良好的诊断效果。     

一种复杂诊断系统的多智能体协同求解算法

为适应故障诊断中动态变化的环境和满足求解复杂系统全部任务的要求,研究一种基于MAS的分布式智能监控系统.以诊断决策问题的结构及建模过程的层次性为基本思想,基于诊断任务的多层次混合分解策略,提出了融合不同表达方式和推理机制的多Agent并行诊断结构,分析了管理Agent,诊断Agent和决策Agent的基本职能.探讨了实时Agent的组织和演化机制,给出了并行推理过程中的冲突消解算法,建立了具有公共属性的智能体模块化层次结构,实现了基于MAS多层分布式黑板模型的智能监控系统.工程应用效果验证了该求解的可行性和有效性.     

Fault diagnosis for wind turbine based on improved extreme learning machine

A fault diagnosis method based on improved extreme learning machine (IELM) is proposed to solve the weakness (weak generalization ability, low diagnostic rate) of traditional fault diagnosis with feedforward neural network algorithm. This method fuses signal feature vectors, extracts six parameters as the principal component analysis (PCA) variables, and calculates correlation coefficient matrix among the variables. The weight values of control parameters in the extreme learning model are dynamically adjusted according to the test samples’ constantly changing. Consequently, the weight fixed drawback in the original model can be remedied. A fault simulation experiment platform for wind turbine drive system is built, eight kinds of fault modes are diagnosed by the improved extreme learning model, and the result is compared with that of other machine learning methods. The experiment indicates that the method can enhance the accuracy and generalization ability of diagnosis, and increase the computing speed. It is convenient for engineering application.     

SDG故障诊断决策表的粒约简算法

为了减少故障特征集的维数,降低流程系统故障诊断知识库的复杂程度,本文将基于二进制粒矩阵的粒约简算法引入到基于SDG模型的故障诊断中.以离心泵与液位系统为例,用粒语言来描述和表达SDG故障诊断模型中的元素,建立反映故障-征兆因果关系的决策表,进而对冗余属性及属性值进行约简,有效地约简了SDG诊断规则,提高了故障诊断的效率.     

输油泵机组状态监测分析诊断系统的设计

介绍了一个输油泵机组状态监测分析诊断系统, 研制该系统的目的是为了实时掌握输油泵机组的运行状态, 为针对性的维护提供依据和手段． 文中阐述了系统的构成, 各参量监测原理,着重讨论了状态监测分析诊断系统软件的设计和系统的实施． 系统软件基于 Ｗｉｎｄｏｗｓ Ｎ Ｔ 网络平台, 具有友好的图形用户界面, 实现了数据动态显示、事故自动报警、定时报表打印、领域专门知识帮助与故障诊断等多项功能．     

Fuel Property Effects on Liquid and Vapor Penetrations of Evaporating Sprays

The purpose of this study is to investigate the effect of fuel properties on liquid and vapor penetrations in evaporating spray systems. A recently developed model, which can simultaneously account for the finite thermal conductivity, finite mass diffusivity and turbulence effects within atomizing multi-component liquid fuel sprays, is utilized for the numerical predictions. Two different multi-component fuels with different boiling temperatures, densities and other thermal properties are implemented in the KIVA-3V computational fluid dynamics (CFD) code to study the evaporation behaviors. A six-component surrogate fuel is used to emulate the relevant volatility property of the real diesel fuel, and a second bi-component fuel is chosen to represent a low boiling-temperature fuel. The numerical results are compared with the experimental data, and the representative results are obtained. For a lower density and lower boiling temperature fuel, the liquid penetration length is shorter. However, the vapor penetration lengths are not affected by the fuel type in terms of fuel volatility. Available experimental data are used for validation and appraisal of the multi-component evaporation model.     

电控机械自动变速器的故障自诊断和容错控制

根据电控机械式自动变速器系统的特点 ,提出了系统故障自诊断和容错控制的设计原则 ,分析了系统中已发生和潜在的主要故障现象及原因 ,给出了系统的故障模型及故障诊断方法 ,并对一些关键故障进行了容错控制设计 .汽车道路试验证明该设计方法是行之有效的且非常实用     

基于神经网络汽车空调的控制仿真与故障诊断

基于人工神经网络的自学习功能和能够表达复杂关系的特点,针对桑塔纳2000空调、冷却系统的控制关系建立了相关神经网络仿真模型并进行了仿真和故障诊断的研究。事实证明,神经网络技术是复杂车辆控制系统的控制关系分析和故障诊断的一种便捷、有效的方法。     

基于专家控制系统的育苗大棚设计

基于专家控制系统的育苗大棚,以STC15F2K60S2系列单片机为核心处理器,采用包括总线拓扑结构、GSM短信报警、触屏监控、专家控制系统和网络远程监控等技术手段进行设计.详细阐述了系统整体设计,各子系统设计和育苗大棚专家系统设计.提供用户操作和控制的平台,同时完成与专家系统动态数据的交互.下位机完成环境参数的数据采集和接收监控平台控制指令操作执行机构.专家系统作为一种控制算法,通过用户输入幼苗生长状态及大棚实时环境参数作为依据,将理想环境参数作为控制目标,对育苗大棚进行智能控制.该系统解决了目前智能温室大棚控制成本高、操作复杂、故障处理困难和无法远程监控等问题.     

08-32捣固车电气系统在线监测与故障诊断系统

在对铁路线路进行封锁施工时,为解决08-32捣固车出现电气系统故障,影响线路正点开通的问题,应用计算机技术和故障诊断理论,设计了08-32捣固车电气系统在线监测和故障诊断系统.应用表明在线监测功能模块能对08-32捣固车的关键参数实时监测,故障诊断功能模块能根据故障现象迅速、准确查找出故障部位及故障原因,说明该系统可行.     

STUDY ON NATURAL LANGUAGE INTERFACE OF NETWORK FAULT DIAGNOSIS EXPERT SYSTEM

Since Internet was born,the computer net workhas developed at a highspeedinits structure and ap-plication.Facing the huge and complex computernet work,we think it hard to deal with the variousfaults of the net work with manual method.Alongwiththe development of AI,the latest achievementof expert system(ES)has provided a new way forthe fault diagnosis and analysis of net work.Butthese ES don't provide a good interface for user.The interface of ES al ways uses command,menuand windows at pres…     

汽车舒适系统CAN总线故障的诊断与检修——以PASSAT汽车舒适系统为例

文章在简要介绍汽车舒适系统的基础上,对PASSAT汽车舒适系统CAN总线部分的电源系统故障、节点故障、链路故障、电阻和线路故障进行了诊断,提出了较为详尽的检修方案,为汽车相关系统的故障诊断与检修提供了参考     

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 structu~, 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.     

一类非线性时滞系统的参数故障检测和估计

研究了一类非线性时滞系统的参数故障检测和估计问题.文中所讨论的故障函数是非线性的,故障不仅依赖于系统的输入和输出,而且依赖于不可测的系统状态,这就使得故障检测和估计问题变得更加的复杂.根据自适应观测器的设计理论和研究方法给出了针对此类系统的参数故障检测和估计这种故障的方法.在满足Lipschitz条件下,提出了故障检测观测器和自适应诊断观测器.     

Bayesian Network Based Approach for Diagnosis of Modified Sequencing Batch Reactor

Wastewater treatment is a complicated dynamic process affected by microbial, chemical and physical factors. Faults are inevitable during the operation of modified sequencing batch reactors(MSBRs) because of the uncertainty of various factors. Abnormal MSBR results require fault diagnosis to determine the cause of failure and implement appropriate measures to adjust system operations. Bayesian network(BN) is a powerful knowledge representation tool that deals explicitly with uncertainty. A BN-based approach to diagnosing wastewater treatment systems based on MSBR is developed in this study. The network is constructed using the knowledge derived from literature and elicited from experts, and it is parametrized using independent data from a pilot test.A one-year pilot study is conducted to verify the diagnostic analysis. The proposed model is reasonable, and the diagnosis results are accurate. This approach can be applied with minimal modifications to other types of wastewater treatment plants.     

汽车油箱改进

通过对油箱进行改进,使得汽车在发生事故时,能有效预防因油箱损坏漏油而发生爆炸,从而保证了人的生命安全。     

Fault Diagnosis and Reliability Analysis Using Fuzzy Logic Method

A new fuzzy logic fault diagnosis method is proposed. In this method, fuzzy equations are employed to estimate the component state of a system based on the measured system performance and the relationship between component state and system performance which is called as “performance-parameter” knowledge base and constructed by expert. Compared with the traditional fault diagnosis method, this fuzzy logic method can use human＇s intuitive knowledge and dose not need a precise mapping between system performance and component state. Simulation proves its effectiveness in fault diagnosis. Then, the reliability analysis is performed based on the fuzzy logic method.     

一种交流电机故障诊断中的特征提取与强化

为提高电机故障诊断的准确率和有效性,提出了一种故障特征提取与强化的新方法.即在对所采集的交流电机振动加速度信号进行数据预处理之后,用盲源分离方法进行独立振动源的分离,然后采用小波包分析方法进行特征提取,并进行特征频带的简化及特征强化处理,特征强化后的数据作为交流电机故障诊断模型的输入.该方法通过对振动加速度信号进行分离,能够分离出混合信号中的独立振动源,提高了故障特征提取的正确率和准确度;通过对特征频带化简,减少了故障诊断模型的输入,进而简化了模型的结构;特征强化使模型能够更有效地识别故障状态.     

故障诊断专家系统应用研究

提出了直流斩波电路故障诊断专家系统的理论根据及设计方法。知识库设计为多元故障树，诊断数据来源于对被诊断对象的测试与知识推理，依据特征向量实现故障定位。采用功能级故障诊断模型比依据网络理论建立的数学模型更为简便。