查询词典 fault diagnosis

In order to overcome the technological difficulties encountered in the course of insulation fault diagnosis on the base of dissolved gases analysis, several kinds of mathematic models and actualized methods are brought forward to improve the reliability and veracity of fault diagnosis of transformers. The research works are shown mainly as followings:1 A modified fuzzy multi-criteria method is brought forward for insulation fault diagnosis of transformer. Furthermore, a new method for insulation fault diagnosis is proposed on the base of fuzzy multi-criteria together with rule reasoning. With fuzzy diagnosis in the method, fault reasons are filtrated and then the reasons in low probability are prohibited, Moreover, the left reasons are testified by using rule reasoning and then final concludes are drawn in much less misjudge probability and better results.2 On the base of geometry characteristics of C- partition to sample set of DGA data of transformer, a method is put forward to compute effective radius of neighbor field of a sample, number of clusters and values of initial centers. Moreover, the fuzzy C- means cluster model with adaptive weight is brought forward in the first time and then the fault classifier is designed for insulation fault diagnosis of transformer.3 According to the weakness of the degree of gray of gray incidence, a new formula to compute DGI is put forward and then incidence order criterion is ascertained. Moreover, a new DGI model for fault diagnosis is proposed according to the further analysis to relationship between fault reason and content of oil dissolved gases of transformer.

为解决在应用油中溶解气体分析方法（Dissolved Gases Analysis，简称DGA）诊断变压器内部绝缘故障时所遇到的主要技术难题，论文提出了用于提高变压器故障诊断准确性和可靠性的数学模型及实现方法，主要研究工作如下：1）提出了一种改进的变压器绝缘故障诊断模糊综合评判方法；进一步提出了将模糊综合诊断与规则推理相结合进行绝缘故障诊断的方法，该方法采用模糊推理对故障原因进行"过滤"，滤掉可能性极小的原因，然后进一步利用规则推理验证剩下的可能原因，得出最终结论，大大减少了误判比率，获得了较好的效果。2）根据以变压器DGA数据为特征量的样本空间的c-划分几何特性出发，提出了一种求取样本有效邻域半径和聚类数及聚类中心初值的方法，在此基础上，首次提出了一种自适应加权的变压器绝缘故障诊断的模糊c-均值聚类模型，并设计出故障分类器。3）针对常用灰色关联度的不足，提出了一新的灰色关联度计算公式及确定关联序的准则；并在此基础上，通过深入分析变压器发生绝缘故障时的原因与油中溶解特征气体含量的关系，建立了一种新的故障诊断灰色关联模型；通过实例分析证明，该方法能有效地诊断出变压器绝缘故障及故障部位，大大提高了诊断的准确性。

And an on-line adaptative training algorithm of the weights of neuron is given, which enhances fusion precision of the model, fault tolerance and adaptive ability for subsystems 4 In order to diagnose the soft fault of integrated system, a new fault detection method is proposed based on federated filter, which can detect fault of system in short interval and greatly enhance the method sensitivity to fault A fault diagnosis method of Dynamically Tuned Gyro baesd on parameter estimation of kinetics model of rotor, and signal pretreatment, parameter estimation and strategy of fault identification are studied in detail The method can locate fault of DTG correctly and effectively, which provides a new approach and idea for gyro fault diagonsis 5 In order to diagnose the hard fault of integrated system, fault tree analysis is studied on fault disgnosis of integrated system circuits, and the hardware and software of disgnosis system are developed, with faults located to main module and circuit For futhur diagnosis, an optimal measurement technology in detection of circuits is discussed by improving an algorithm based on information theory, and a pratical method based on half-split method is proposed.

针对组合系统的软故障诊断问题，提出了基于联合滤波模型的一种新的故障检测算法，给出了算法的理论推导过程，该算法能在较短的时间内检测出系统故障，提高了算法对故障的敏感度；研究了基于动调陀螺转子动力学模型参数辨识的故障诊断方法，就其中的信号预处理、参数辨识及故障决策方法等关键技术进行了详细的研究，该方法可以正确、有效地检测与定位动调陀螺故障，为陀螺故障诊断提供了新的途径和思路。 5。针对组合系统的硬故障诊断问题，研究了基于系统浅知识推理的故障树法在组合系统电路子系统故障诊断中的应用，开发了相关诊断系统的软硬件，故障可定位到系统的主要功能模块和电路板级。为了进一步的故障定位，研究了电路板故障的最优检测问题，完善了基于信息理论的优化算法，并提出了基于&对分法&的一种实用的优化算法，故障可定位到电路板的主要功能元件级。在组建的SINS/GPS组合系统实验平台上，针对上述研究内容，进行了大量的实验研究。

In this paper Ⅰ successfully applied these methods to fault diagnosis, and presenting some new innovative machinery fault diagnosis method; First Ⅰ present a new gear wornout fault diagnosis method, this method use the vibration signal's time-frequency attribute and instantaneous phase undulation to accurately detect gear's fault, and by comparing with the traditional frequency domain analysis method, this method reveals that many nonlinear and nonstationary characteristic exist in gear's vibration, this tell us that if we use frequency domain analysis method without pay attention to the signal's characteristic, we could get wrong diagnostic result; Then Ⅰ present a new bearing fault diagnosis method, this method use ATVFD and Hilbert transform to do envelop demodulation,Ⅰ analyze the envelop with time-frequency method and find out that this method is more accurate then traditional method.Ⅰ also explain that the modulation of the fault to the carrier wave may also be non-stationary and nonlinear; Finally Ⅰ present a cylinder pressure measurement method of diesel engine by means of vibration, cylinder pressure is an important parameter of diesel engine fault diagnosis, the pressure measuring is simplified a lot by this method,Ⅰ also use the ATVFD and time-frequency analysis to realize it.

本文中将上述理论方法成功地应用到故障诊断中去，提出了几点创新性的诊断方法；提出了一种齿轮磨损故障诊断的新方法，该方法利用振动信号能量的时频域分布特征与瞬时相位波动特征可以进行精确的齿轮故障诊断，并通过与传统的频域诊断方法的比较，揭示出齿轮振动中存在的明显的非线性与非平稳特征，说明了不加选择地利用频域分析方法进行齿轮故障诊断很可能会得到错误的诊断结果；提出了一种轴承故障诊断的新方法，该方法利用ATVFD分解与Hilbert变换进行包络解调，并对解调得到的包络信号进行时频域分析，可以实现更加准确轴承故障诊断，说明了故障对载波信号的调制往往也是非平稳与非线性的；提出了一种利用振动信号进行柴油机汽缸内压力检测的新方法，柴油机汽缸压力的变化是柴油机故障诊断的重要参数，利用振动方法可大大简化汽缸压力的检测过程，该方法也是综合利用ATVFD分解与时频域分析方法实现的。

The activities in different sections of the Gaoqing fault in the Huagou gas field were analyzed using 3D seismic data. The activities of the fault segment associated with the Huagou gas field were strong during the Guantao\|Minghuazhen period, while the activities on east and west sides of the gas field were weak at that time. The Huagou gas field is well corresponding to the strong activity segment of the Gaoqing fault on the plane. The process of gas migration in the Huagou reservoir is divided into two phases:(1)After mantle\|derived magmatogenetic gas including CO2, N2, and He entered the Gaoqing fault, the gas migrated to the top of the fault by the action of buoyancy or pressure, then the gravitative differentiation occurred. For the top of the fault is closed and both sides of fault is sealed, the gas assembled to some degree in the Gaoqing fault;(2)When gas was accumulated at a large scale in the Gaoqing fault, the gas migrated towards the reservoirs along the two sides of the fault and was accumulated in sandstone.

利用三维地震资料，对济阳坳陷花沟CO2气藏区高青断裂走向上不同区段的活动性进行了分析，指出：花沟CO2气藏所对应的高青断裂区段，在馆陶组—明化镇组沉积时期活动性强，而气藏的东、西两侧，馆陶组—明化镇组沉积时期断裂基本上不活动；花沟CO2气藏与馆陶组—明化镇组沉积时期高青断裂活动性强的区段在平面上有着良好的对应关系；花沟CO2气藏的运聚过程分为2个阶段，在第1阶段，幔源岩浆成因的CO2、N2和He等气体进入高青断裂后，在浮力或压差作用下向断裂顶端运移，并发生重力分异，由于断裂顶端封闭、两侧封堵，CO2、N2和He等气体在高青断裂中实现了一定程度的聚集，而在第2阶段，当CO2、N2和He等气体在断裂中聚集到一定程度，便在压力驱动下向断裂两侧砂岩储层运移，并在其中聚集成藏。

Based on the information-scheduling models and time-delay models of networked control system, state-estimate-based and parity-relation-based fault diagnosis approaches and passive fault-tolerant control such as integrity control for networked control systems are presented; 2 we presented new models, Quasi T-S models, for linear and nonlinear networked control systems with random time delays, and the corresponding fault diagnosis and fault-tolerant control approaches; 3 With all these fault diagnosis theory presented, active fault tolerant control approaches are developed directly for networked control systems; 4 Some analysis, design and optimization theory for networked control systems are presented., such as robust control, LQ guaranteed cost control, modeling and control for stochastic networked control and integrated optimization etc.

给出了诸如网络化控制系统的鲁棒控制、LQ保成本控制、联合优化设计、随机网络化控制系统的建模与控制等方面的结果。

An intelligent fault detection and diagnosis method based on space vector is presented, fault diagnosis knowledge self-acquisition and self-tuning and symptom optimum algorithm are infered. 4、An early fault detection and diagnosis method based on ANN for process industry is presented, which has perfect self-learning and self-tuning ability and can establish diagnosis model automatically with the process of fault diagnosis in the absence of sufficient prior knowledge.

提出一种基于特征空间向量的智能故障诊断方法，推导了其故障诊断知识的自动获取算法和故障诊断的自适应算法以及征兆信号优化选取算法； 4、提出一种基于人工神经网络的生产过程早期故障检测与诊断方法，该故障诊断方法知识获取容易，具有良好的自学习和自适应能力，能够在故障先验知识不完备的情况下，通过与用户的交互，逐步自动建立起完善的故障模型知识。

Two GFRF system model identify algorithms based respectively on Signal Flow Graph/Driving Point Impedance and EDA simulation are proposed. In order to solve the problem of fault diagnosis that the inner structure and parameters of the Object under Test cannot be able to determine, a new fault diagnosis method based on the phase space reconstruction and GFRF general formula is investigated. This method builds up a bridge between the chaos theory and Volterra series analysis, which does not strongly depend on the topological structure and the testing data length, is sensitive to the fault property, traces monotonously the change of system fault, and possesses some significant predominance compared with conventional fault diagnosis methods of analog circuits.

提出了基于信号流图/驱动点阻抗法的GFRF算法和基于EDA仿真和非线性频谱响应特性分析的系统模型辨识算法，为解决工程实践中不能确知被测对象内部结构和参数时的故障诊断问题，研究了基于相空间重构和GFRF简化算法的复杂电子系统故障诊断方法，该方法建立了混沌理论与Volterra级数分析法之间的桥梁，它对被测对象的拓扑结构依赖性不强，对被测系统的故障性质的敏感，可以单调地跟踪系统故障的变化，这种基于混沌特性分析的故障诊断方法与其它的模拟电路的故障诊断方法相比较具有显著的优势。

Nextly, develop a fault diagnosis data collecting system which solved real-time dataacquisition in the power system fault diagnosis, the data message is analysed in detail andextract the data required in fault diagnosis, this system can not only collect data but alsotransmit the data information to attemper and provide a necessary condition for electric powersystem fault diagnosis On-line.

其次，开发电力系统故障诊断数据信息采集系统，该系统解决了电力系统故障诊断过程中故障特征信息很难实时获取的问题，同时对数据报文进行了详细的分析，提取出故障特征信息，该系统不但可以采集数据，而且还可以将数据信息实时传送至调度，为电力系统大规模在线故障诊断提供了必要的条件。

Firstly, This text has described information fusion technology characteristic, form structure and concrete processing method, and application of information fusion in fault diagnosis proves the feasibility and validity from the angle of information theory. Based on this,it is combined the fault diagnosis of aeroengine with Information fusion, a method and model which the fault diagnosis of aeroengine information fusion is brought forward. a research which combined neural networks with D-S evidence is brought forward. Based on the analysis of single neural network characteristic, the model of roted neural network is put forward. With the simulation based on the example, we can know evidence theory fusion improved the fault diagnosis It is hard to give the basic probability function in the process of using the evidence theory, So the model based on network and D-S evidence is put forword.

本文首先论述了信息融合技术的特点、形式结构和具体的处理方法，并从信息论的角度论证了信息融合技术在故障诊断中的可行性和有效性；在此基础上，将航空发动机故障诊断与信息融合相结合，提出了一种基于信息融合技术的发动机故障诊断模型和方法，并在此基础上，提出和分析了基于人工神经网络和D-S证据理论的信息融合故障诊断，研究了神经网络的建模方法、组建原则和实现策略，并结合诊断实例进行了分析；提出了基于D-S证据理论的决策融合，阐述了D-S证据理论的方法，模型，并结合算例进行了分析。

This dissertation, orienting to practical engineering applications, takes the lead in carrying out domestic investigations on expert system of fault detection and diagnosis for aerospace propulsion system and has successfully established a well-performed expert system for fault detection and diagnosis based on advanced theories and technologies. What is more, some research has been conducted on the new algorithmic method for fault detection and diagnosis; bondgragh method has been successfully used for fault detection and diagnosis in aerospace propulsion in the dissertation.

本文在国内首先应用先进的理论和技术，面向工程应用的实际，开展了空间推进系统故障检测与诊断专家系统的研究工作，并建立性能良好的故障检测与诊断专家系统；还进行了故障检测与诊断新算法研究，成功的运用键合图理论完成了空间推进系统的故障检测与诊断研究。

More direct, directer ; most direct, directest

径直的，笔直的

Do you know how to use a chain saw?

你知道如何使用链锯吗？