故障

FLT故障: Slave diagnostic fault message.

辅助设备诊断故障信息

The main study in the paper is as follows: Firstly, discussing the purpose of carrying on hydropower units fault diagnosis, then, introduce state of the art and classical method in the field of fault diagnosis in hydroelectric sets. The mechanism, major failure and failure symptom of hydropower units, three methods that can identify unit's vibration fault. With the key technology of monitoring on hydropower sets together with the viberation signal-disposed and fault feature-extracted are analysised.

本文主要进行了以下工作：从水电厂实际出发，阐述了开展水电机组故障诊断研究的重要意义与目的，简要介绍了国内外水电机组故障诊断技术发展现状以及目前应用于故障诊断领域的常用方法，系统地分析归纳了水电机组振动的机理、主要故障及其故障征兆、识别水电机组振动故障原因的三种方法，以及水电机组监测的关键技术和故障特征提取技术。

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。

A new knowledge acquirement way is presented based on the reliability data of product, then the fuzzy semantic net which consists of FEPM and fuzzy fault tree is regard as fault knowledge representation. The formalization of the fuzzy semantic net is described, and the relative concepts and relations are summarized. A stereo-knowledge representation which consisted of FFTF, rule and fuzzy neural network which make up of the shallow knowledge of the product is presented. The integrated fault diagnosis method based on the stereo-knowledge representation is suggested. The method is as follows. The fuzzy search inference is carried out on FFTF firstly. If the node being diagnosing can be decided if it failed or not in the fuzzy search inference, the rule inference to the node is carried out with the rules which being in symptom-fault way. An equivalent method, pattern recognization inference using fuzzy neural network, can fulfill the same work.

提出了以FFTF模糊语义网络为主、基于浅知识的产生式规则、模糊神经网络为辅的产品故障知识的立体知识表示方式，并提出了基于该多种知识表示的综合性故障诊断方法，即：首先对故障产品进行基于FFTF模糊语义网络的模糊搜索推理，如果在模糊搜索推理过程中不能确定当前诊断节点故障与否，则对当前诊断节点进行基于征兆-故障形式的验证式规则推理或者对包含该诊断节点的部件／子系统进行基于模糊神经网络的模式识别推理，如果在完成或者不再进行基于模糊语义网络的故障推理，仍然不能诊断出故障节点，则对基于模糊语义网络诊断过程中形成的故障诊断子图进行神经网络推理。

Aimed at the characteristic of multiple types of faults possibly happened in nuclear power plant, large scale of training sample, and requirement of quick and accurate diagnosing, after the analysis of large sample number generated by large fault type exceeds limitation of 64K paragraph in DOS and large number of local minmum in error surface, measurements of same format of data file, Win95/NT operating system platform, resetting weight learning rate, dynamic training set in quick learning algorithm and improvement on quick learning algorithm using homotopy method which can avoid local minmum points in error surface have been adopted to ensure quickly and effective process of the course of neural network's training and testing.

针对核动力装置可能发生的故障种类多，训练样本规模大，故障诊断需要快速准确的特点等，分析了样本多和故障种类多产生的训练样本量超出DOS段大小和网络误差曲面上局部极小值多的情况，采取了使用相同格式数据文件、Win95/NT操作系统平台，对快速学习算法采用重置神经网络权值学习率和动态训练集、并采用能够有效克服网络误差曲面上局部极小点的同伦方法对学习算法进行改进等措施保证神经网络训练测试过程的快速、有效地进行；针对装置发生的故障须快速、准确诊断的需要，分析了故障的产生对装置参数变化的影响及操纵员对故障诊断的基础，在核动力装置发生故障时参数曲线的变化量与正常运行时参数曲线的变化量存在明显差异的基础上，提出采用参数曲线的变化量作为神经网络的输入，并围绕参数变化量的方法采用二次曲线拟合滤波求变化量和阈值技术来保证神经网络得到精确的装置参数变化量，从而得到准确的诊断结果。

Computer simulation on a non=isothermal CSTR process monitoring problem demonstrates the effectiveness and efficiency of the proposed method.3 Optimal design of the incidence matrix for Structured Residual Approach with Maximized Sensitivity is discussed in this paper, in order to overcome the shortcoming of SRAMS that ignores the speed and sensitivity of fault diagnosis while considering the isolability of fault codes in the incidence matrix design.

通过非等温连续反应釜过程的故障检测与诊断的应用实例，说明了基于具有优化结构的FS KPCA信号重构传感器故障诊断方法的快速性和有效性。3针对一种基于结构化残差PCA的传感器故障诊断方法，即：基于具有最大敏感性结构化残差的传感器故障检测与诊断方法，在设计影响矩阵时只考虑故障编码的可分离性，而没有考虑故障诊断的快速性和灵敏性的缺点，提出了故障敏感度和故障诊断灵敏度等指标，并给出了两种影响矩阵结构的优化设计算法，从而提高传感器故障诊断的快速性和准确性。

Refers to the independence of failure to complete a single chip damage; the relevance of failure means a failure associated with some other fault, the fault is not normal for many functions, and its failure to control the various functions of the substance of the common part of malfunction caused by (for example, soft, hard disk subsystem is not working properly, and the soft, hard disk controller to control the functions of the more isolated, fault is often on the motherboard that control peripheral DMA data transfer control circuit).

独立性故障指完成单一功能的芯片损坏；相关性故障指一个故障与另外一些故障相关联，其故障现象为多方面功能不正常，而其故障实质为控制诸功能的共同部分出现故障引起（例如软、硬盘子系统工作均不正常，而软、硬盘控制卡上其功能控制较为分离，故障往往在主板上的外设数据传输控制即DMA控制电路）。

In accordance with the technological difficulties encountered in the process of insulation supervision based on the Dissolved Gases Analysis,several kinds of model and method are presented to improve the reliability and precision of fault diagnosis of the power transformer. Main research content includes:By deeply studying the common transformer faults diagnosing methods,such as three-ratio methods and improved electrical committee agreements,several shortcomings such as uncertainness judgment when the fault reasons,phenomenon and principles come out together while can not consistent to each other etc. For this reason,the old methods can not fully meet the need to engineering practical application.Considering fuzzy relationship matrix can fully represents the causality between fault symptoms and fault types,when diagnosing complex equipments with multiple symptoms and fault causes such as power transformer,a synthetic fuzzy diagnosing model is firstly proposed to diagnose transformers insulation faults based on DGA in this paper. Meanwhile,by further study the character of fuzzy factors,aimed at correcting the defects in classifying fuzzy sets of common fuzzy judgment,a method are put forward by unifying fuzzy synthetic diagnosis and fuzzy principle reasoning.

本文针对应用油中溶解气体分析方法进行变压器绝缘监督时所遇到的主要技术难点，提出了提高变压器故障诊断的准确性、可靠性的几种模诊断方法，主要研究内容有：通过对判断变压器故障常用的三比值法和改良电协研法的深入分析，其诊断准确率较高，但对故障原因、故障现象和故障机理间同时存在不确定性和模糊性的变压器等电气设备的故障诊断，难于满足工程应用的需要；在处理变压器等结构复杂设备的多症状、多原因故障诊断时，模糊关系矩阵可以全面反映这种症状与故障类型间的因果关系，进而提出了变压器故障诊断的模糊综合诊断模型；同时作者还深入分析了模糊算子的特性；针对常用的模糊评判结果的模糊集的集化方法的不足性，提出了将模糊综合诊断与模糊规则推理结合起来进行故障诊断的方法，能达到较好的效果。

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。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。