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3下载:
基于KPCA(核主元分析)发对TE模型进行故障诊断和辨识-Based on KPCA (KPCA) TE model made of fault diagnosis and identification
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Distributed fault identification via non-parametric belief propagation
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从改进提议分布的成片野值容错能力入手,提出了基于残差正交判别的UPF容错滤波算法,该算
法将残差正交判别法UKF的野值自适应性和粒子滤波的“适者生存性”有机地结合起来.通过非线性状态估计
的实验,证实了这种新的自适应粒子滤波对成片野值处理的有效性,-Proposal from the improved value of the distribution of fault tolerance into the film field, put forward an identificatio
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使用微粒群算法用于飞机故障辨识的很好的论文。-Using the particle swarm algorithm for aircraft fault identification of good papers.
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利用小波分析检测超高压输电线路故障和故障分类-fault identification and classifiction of EHV transmission lines based on wavelet transform
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PSO优化算法飞机操纵面故障辨识研究PSO algorithm fault identification of aircraft control surfaces-PSO algorithm fault identification of aircraft control surfaces
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蚁群算法聚类可以实现故障识别给出故障对策-Ant colony clustering algorithm can achieve fault identification measures are given fault
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货车转向架安全链故障计算机视觉识别算法Freight Car Safety Chain Fault Identification Algorithm for Computer Vision-Freight Car Safety Chain Fault Identification Algorithm for Computer Vision
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A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault cl
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我国配电网一般采用中性点非有效接地方式,该配电网通常被称为小电流接地系统。故障选线是长期以来国内外关注的一大难题。提供了一种判别单相接地故障的程序,以及程序所用的数据。数据是EMTP仿真结果。-China' s distribution network is generally used non-effectively grounded neutral manner, often referred to as the distribution Netcom small current gr
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Currently systems and dynamics research is ongoing in modeling and identification primarily for controller design, state estimation and fault detection/diagnosis. With accurate and precise system model identification, no aspect from controls to fault
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滚动轴承的故障识别,可以利用HTM技术进行故障识别,确定故障类型-Rolling bearing fault identification, you can use HTM technology to identify faults, determine the type of fault
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Development of Neural Networks module for fault identification in
asynchronous machine using various types of reference signals
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wavelet technique is used for fault identification
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针对滚动轴承复合故障信号特征难以分离的问题, 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方
法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠, 对
故障信号特征提取有很大的干扰, 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离, 从而尽可能消除频率混叠 最后
对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调, 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
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针对故障辨识诊断,提出新型未知故障辨识的加权归一化半径判别法,与欧氏距离和归一化半径判别作比较,证明了该方法的有效性。-Failure to diagnose against new, unknown fault identification proposed weighted normalized radius discrimination law, and Euclidean distance and normalized radius of discrimination as compar
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SOM神经网络,Self-Organizing Map 的缩写,即自组织映射。
1981年芬兰Helsink大学的T.Kohonen教授提出一种自组织特征映射网,简称SOM网,又称Kohonen网。 Kohonen认为:一个神经网络接受外界输入模式时,将会分为不同的对应区域,各区域对输入模式具有不同的响应特征,而且这个过程是自动完成的。自组织特征映射正是根据这一看法提出来的,其特点与人脑的自组织特性相类似。
由于它的强大功能,多年来,神经网络在数据分类、知识获取、过程监测、故障识别等领域
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SOM神经网络:Self-Organizing Map 的缩写,即自组织映射。
1981年芬兰Helsink大学的T.Kohonen教授提出一种自组织特征映射网,简称SOM网,又称Kohonen网。 Kohonen认为:一个神经网络接受外界输入模式时,将会分为不同的对应区域,各区域对输入模式具有不同的响应特征,而且这个过程是自动完成的。自组织特征映射正是根据这一看法提出来的,其特点与人脑的自组织特性相类似。
由于它的强大功能,多年来,神经网络在数据分类、知识获取、过程监测、故障识别等领域
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利用MATLAB软件进行故障分析,自己编写的模糊神经网络故障识别程序-Using MATLAB software for fault analysis, the preparation of fuzzy neural network fault identification procedures
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本文介绍了一种自适应信号分解新方法-变分模态分解,并且针对滚动轴承早期故障识别困难这一问题,提出了基于VMD的诊断方法。-In this paper, a new adaptive signal decomposition method, variational mode decomposition, is introduced. Aiming at the problem of early fault identification of rolling bearing, a diagnosis
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