fault pattern造句
例句与造句
- Block fault pattern
块状断裂型 - Subsequently , the questions on the neural network for fault pattern recognition are studied
其次,针对神经网络故障模式识别中的一些问题做了如下的研究。 - Generally , if novel cases are very rare or there are no fault samples , it ’ s difficult to analyze the fault patterns
从故障诊断技术的角度而言,事先无法获得蕴涵故障特征的测试数据,就无法获得其故障模式,因而也就无法进行故障分析。 - After that fault pattern and effect analysis have been applied to make an analysis to the hardware and get a conclusion that the master and a / d needs fault - tolerance design
而后采用故障模式与影响分析法对硬件进行分析，得到了主机与a d需要容错设计的结论。 - Therefore , the basic fault pattern is established by the fault symptom and neural network is trained by the sample or sample composed of the single fault pattern , so that it can discern the reasons and positions of the different faults
鉴于电控系统组成的复杂性，同样的故障征兆具有”一果多因”的特点。因此，以故障征兆为基本模式，采用单故障样本组合的方式对神经网络进行训练，以识别具体的故障原因和部位。 - It's difficult to find fault pattern in a sentence. 用fault pattern造句挺难的
- This thesis investigates stretch - bending former hydraulic system fault diagnosis in detail , analyzing the former constitutes and process characteristics , researching fault patterns and features of the former . and strategies for rotary stretch - bending former hydraulic system fault diagnosis are brought forward
本文深入研究了转台式拉弯机液压系统的故障诊断技术，建立了转台式拉弯机液压系统故障诊断的层次模型，提出了相应的故障诊断的策略。 - Four diagnosis models are described as boolean equations , and some related problems are discussed based on boolean equations such as optimal diagnosis , all consistent fault patterns , absolute fault - free and faulty machines etc . next the four models are described as linear equations and then matlab can be used in equation diagnosis
对基于非齐次线性方程组的诊断进行了进一步的讨论，对所有四种诊断模型均表示为非齐次线性方程组的形式，将matlab用于方程的诊断；并对已有的几种不同类型的方程在诊断中的应用进行了比较。 - With the development of the network and the multi - processor system , the research , simulation and the impemeni of the system - level fault diagnosis which is the very important means to increase the reliability of the system , are becoming more and more important . on the system - leve1 fault diagnosis , based on the group theory of system - level fault diagnosis that has been put forward by pro f zhang , the paper constructs newly the theory bases , improves on the matrix method , reinforces and consummates group arithmetic of all kinds of test mode , for the first time , analyses and discusses the equation solution of all kinds of models , so al1 the consistent fault patterns ( cfp ) could be found , straightly and high efficiently , even if the sufficient and necessary condition of t - diagnosable is dissatisfied and the complexity of system - level fault diagnosis is greatly decreased , especialy in strong t - diagnosabl6 system . last the simulation system ' s function has been extended and the application hotspot and the development trend have been disscussed
本人在张大方教授等人提出的基于集团的系统级故障诊断的理论基础上，重新构建了系统级故障诊断的理论基础，定义了系统级故障诊断测试模型的三值表示；改进了系统级故障诊断的矩阵方法，重新定义了测试矩阵、邻接矩阵、结点对、结点对的相连运算、极大准集团和斜加矩阵，由此能直观、简便地生成集团和极大独立点集；补充和完善了各类测试模型的系统级故障诊断的集团算法，通过定义集团测试边和绝对故障集，简化了集团诊断图，由此能较易地找到所有的相容故障模式，即使不满足t -可诊断性，大大减少了系统级故障诊断的复杂度，尤其是对强t -可诊断系统；首次分析探讨了各类测试模型的方程解决，由此从另一角度能系统地、高效率地求出所有的相容故障模式( cfp ) ：扩充了系统级故障诊断仿真系统的功能，快速、直观和随机地模拟实验运行环境，进行清晰和正确的诊断，同时提供大量的实验数据用于理论研究，优化算法和设计。 - The typical faults of the automobile electrical control system are taken for example , and their technology condition features are described . ann is used for the fault pattern recognition . because the construction of electrical control system is complex , the fault symptoms have the basic feature that one fault is resulted from many reasons
以汽车电控系统的典型故障为例，对故障症兆的技术状态特征的描述、利用神经网络进行故障模式识别及其故障部位判断与故障原因分析等问题进行了深入的研究。 - And an intelligent fault detecting system is established . starting from analyzing the possible faults existed ; relations between the fault patterns of the wall - climbing robot and the characteristic signals are established . so the problem of fault detection of the robot is in essence a problem of pattern recognition
主要内容如下：对壁面机器人的可能故障进行分析，总结系统可能的故障类型，并选择体现不同故障类型的特征信号，构建系统的故障空间和故障征兆空间，建立了两者之间的映射关系，并在此基础上制定了故障诊断方案。 - Two distinct bp training algorithms on multilayer perceptron type neural - network are developed to improve the trained network ' s quickness , robustness and generality . they are brought out from the combination of existing investigations - dynamic learning rate , momentum terms and quadratic function of weights , and amendment of desired error function respectively . the simulative results of rotating machinery fault pattern classification illustrated the effectiveness of the new algorithms
针对多层感知器神经网络的标准bp训练算法存在推广能力差和训练速度慢等缺陷，首先结合已有的研究成果，给出了一种动态学习率和动量项相结合，并在误差函数中引入网络权值的二次型函数项的改进训练算法，提高了网络的快速性和推广能力。 - Chapter three discusses the vibration information based automatic diagnosis mehtod . the acquisition of spectrum feature of fault pattern class by the fuzzy clustering algorithm is the bisis of pattern recognition in the level of fault class . the result acquired by fuzzy relationship between vibration symptom and fault shows the feature of fuzzy - relation - based method
第三章主要研究基于振动信息的自动诊断方法，建立了故障模式类的概念，根据模糊聚类算法确定了故障标准模式类及其频谱特征，为在故障模式类层次上的模式识别提供了理论基础；研究了模糊关系诊断结果的分布规律；建立了综合诊断实现了基于综合诊断方法的多机组、多测点在线诊断。 - Thirdly , on account of the poor reality that the full fault patterns of hv circuit breaker is difficult to establish due to lack of raw data , an alternate method , namely similarity analysis ( sa ) , is proposed . the basic idea of sa is comparing the data of condition to be assessed with the data of working condition
( 3 )在目前断路器运行数据缺乏，完善的故障模式难以建立的情况下，提出一种基于比较与分析运行状态与正常状态之间的相似程度的断路器运行状态辨识方法? ?相似性分析。