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Description: This pdf is a textbook concerning fault diagnosis techniques
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Size: 3551232 |
Author: mohammad mahdy |
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Description: BP神经网络在电力变压器故障诊断中的应用，通过该算法可以有效地诊断出电力变压器的故障。-BP neural network applications in the power transformer fault diagnosis, the algorithm can effectively diagnose the fault of power transformers.
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Size: 1024 |
Author: 姜鸿羽 |
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Description: 柴油机气缸故障诊断程序，基于RBF神经网络
包含3个程序：一个气缸两种故障，气缸组件两缸故障和一个气缸一个故障。温度300K 输出功率100 -diesel engine fault diagnosis technology based on RBF neural networks
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Size: 4096 |
Author: jack |
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Description: 齿轮箱故障诊断的一些集成程序 可以实现齿轮箱的常见分析-Gearbox Fault Diagnosis of some integration program can achieve a common analysis of the gearbox
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Size: 296960 |
Author: xiage24 |
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Description: Intelligent Fault Diagnosis and Prognosis for Engineering Systems
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Size: 8574976 |
Author: 李学明 |
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Description: 讲述了机械故障诊断中一些理论知识，如现在常用的HHT，对初学者有帮助。-Tells the story of some mechanical fault diagnosis theory of knowledge, such as the now commonly used HHT, help for beginners.
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Size: 3516416 |
Author: yxa |
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Description: EEMD 方法用于机械故障诊断的程序，希望对学习这方面的同学和研究人员有所帮助！-EEMD method for mechanical fault diagnosis procedures in the hope of learning the students and researchers in this area to help!
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Size: 16384 |
Author: 幸福 |
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Description: 动车组制动控制系统故障诊断方法研究,故障诊断很好的参考-Fault diagnosis method EMU brake control system
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Size: 15575040 |
Author: 柳光峰 |
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Description: 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 difficulty of separating the fault feature from compound rolling bearing fault signal，a new
fault diagnosis method is proposed based on dual-tree complex wavelet transform ( DT-CWT) and independent com-
ponent analysis ( ICA) ． Firstly，DT-CWT is used to decompose the non-stationary fault vibration signal into several
components with different frequency bands． Because frequency aliasing exists in the components，this problem dis-
turbs the feature extraction of the fault signal． Then，ICA is introduced to perform blind source separation on the
mixed signal consisting of various components to eliminate the frequency aliasing as far as possible． Finally，Hilbert
envelope decomposition is performed on the independent signal components separated from the mixed signal． Thus
the compound fault feature information can be separated，and the fault identification is achieved．
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Size: 927744 |
Author: 侯蒙蒙 |
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Description: 基于概率神经网络的柴油机故障诊断,通过建模，最后得到诊断的效果-Diesel engine fault diagnosis based on probabilistic neural network, through modeling, finally got a diagnosis effect
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Size: 2048 |
Author: 刘丹丹 |
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Description: 基于径向基函数神经网络的电网模糊元胞故障诊断方面的文献-Based on the radial basis function neural network fuzzy automata (fault diagnosis of power grid
Platform: |
Size: 333824 |
Author: licongshan |
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Description: 风力发电的故障诊断研究，基于MHE（滚动时域估计）的故障诊断方法-Fault diagnosis of wind power, based MHE (rolling horizon estimation) of the fault diagnosis method
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Size: 45056 |
Author: 董雪梅 |
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Description: 机械故障诊断方法概述 信号处理方法概述 齿轮箱故障诊断-Mechanical fault diagnosis method outlined signal processing method outlined gearbox fault diagnosis
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Size: 1269760 |
Author: 陈军 |
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Description: Fault diagnosis plays an important role in the oper-
ation of modern robotic systems. A number of researchers have
proposed fault diagnosis architectures for robotic manipulators
using the model-based analytical redundancy approach. One of
the key issues in the design of such fault diagnosis schemes is
the effect of modeling uncertainties on their performance. This
paper investigates the problem of fault diagnosis in rigid-link
robotic manipulators with modeling uncertainties. A learning
architecture with sigmoidal neural networks is used to monitor
the robotic system for any off-nominal behavior due to faults. The
robustness and stability properties of the fault diagnosis scheme
are rigorously established. Simulation examples are presented
to illustrate the ability of the neural-network-based robust fault
diagnosis scheme to detect and accommodate faults in a two-link
robotic manipulator.
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Size: 306176 |
Author: JTNT |
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Description: 概率神经网络的分类预测 基于PNN的变压器故障诊断-The classification of probabilistic neural network prediction- transformer fault diagnosis based on PNN
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Size: 3072 |
Author: 陈晗 |
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Description: 介绍国内外机械故障诊断技术的发展情况，并列举了应用实例。-Describes the development of domestic and foreign machinery fault diagnosis technology, and examples of its applications.
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Size: 88064 |
Author: 陈钦 |
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Description: 介绍机械振动信号的各种特征提取方法以及故障诊断算法的相关论文-Mechanical vibration signal feature extraction and fault diagnosis
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Size: 26260480 |
Author: snow |
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Description: 概率神经网络机械故障诊断matlab程序
通过振动信号预判机械故障-Diesel Engine Fault Diagnosis
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Size: 1024 |
Author: 王先生 |
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Description: 滚动轴承的故障诊断程序，可实现在线诊断和自动识别-Rolling bearing fault diagnosis
Platform: |
Size: 388096 |
Author: 周昊 |
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Description: SOM神经网络的数据分类 柴油机故障诊断-The data classification of SOM neural network, diesel engine fault diagnosis
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Size: 4096 |
Author: 徐瞬 |
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