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Description: 小波变换在故障诊断中的应用 441
18.1 引言 441
18.2 基本原理 442
18.3 小波变换在轴承故障诊断中的应用 444
18.3.1 轴承外环故障诊断 444
18.3.2 轴承滚动体故障诊断 448
18.4 小波变换在齿轮故障诊断中的应用 450
18.5 小波包在轴承故障诊断中的应用 452
18.5.1 轴承外环故障诊断 453
18.5.2 轴承滚动体故障诊断 454-wavelet transform fault diagnosis of Introduction 441 18.1 441 18.2 442 basic tenets 18.3 wavelet transform bearing fault diagnosis of 444 18.3.1 ring bearing 444 1 Fault Diagnosis 8.3.2 rolling bearings Fault Diagnosis 448 18.4 wavelet transform in Gear Fault Diagnosis of 450 1 8.5 wavelet packet bearing fault in the diagnosis of 452 18.5.1 ring bearing fault diagnosis 453 18. 5.2 roller bearings Fault Diagnosis 454
Platform: |
Size: 1316 |
Author: 崔鹏 |
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Description: 小波变换在故障诊断中的应用 441
18.1 引言 441
18.2 基本原理 442
18.3 小波变换在轴承故障诊断中的应用 444
18.3.1 轴承外环故障诊断 444
18.3.2 轴承滚动体故障诊断 448
18.4 小波变换在齿轮故障诊断中的应用 450
18.5 小波包在轴承故障诊断中的应用 452
18.5.1 轴承外环故障诊断 453
18.5.2 轴承滚动体故障诊断 454-wavelet transform fault diagnosis of Introduction 441 18.1 441 18.2 442 basic tenets 18.3 wavelet transform bearing fault diagnosis of 444 18.3.1 ring bearing 444 1 Fault Diagnosis 8.3.2 rolling bearings Fault Diagnosis 448 18.4 wavelet transform in Gear Fault Diagnosis of 450 1 8.5 wavelet packet bearing fault in the diagnosis of 452 18.5.1 ring bearing fault diagnosis 453 18. 5.2 roller bearings Fault Diagnosis 454
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Size: 1024 |
Author: 崔鹏 |
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Description: 常见时频方法在齿轮故障诊断上的应用，对于故障诊断的专业人员有一定的价值-Common time-frequency method in gear fault diagnosis, fault diagnosis for the professionals have a certain value
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Size: 1583104 |
Author: 张楠 |
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Description: 基于LabVIEW的齿轮故障测试仪的软件设计-LabVIEW-based gear fault tester of software design
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Size: 531456 |
Author: shijin |
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Description: 齿轮故障诊断源代码，特别是针对点蚀故障，主要利用小波削噪功能检测微弱故障信号-Gear fault diagnosis source code, especially for pitting failure, the main use of wavelet noise reduction function weak fault signal
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Size: 1024 |
Author: wang |
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Description: 基于db10四层分解的齿轮的故障特征提取-Decomposition based on the four-db10 gear fault feature extraction
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Size: 1024 |
Author: pin |
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Description: 利用matlab神经网络对齿轮箱进行故障诊断，程序经调试完全好用-Matlab neural network used for fault diagnosis of gear box, easy to use program by the debugging of
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Size: 1024 |
Author: 出来乍到 |
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Description: 随机子空间方法在齿轮系统故障诊断中的应用-Stochastic subspace of Gear Fault Diagnosis System
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Size: 407552 |
Author: pute |
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Description: Application of mother wavelet functions for automatic gear and bearing fault diagnosis：应用小波函数对齿轮和轴承进行故障诊断-Application of mother wavelet functions for automatic gear and bearing fault diagnosis
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Size: 1311744 |
Author: 刘大 |
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Description: 介绍小波变换的基本原理 针对农机产品变速箱齿轮出
现故障时产生的非稳态脉冲信号特点 选择合适的小波 应用
小波变换准确地诊断变速箱齿轮裂纹故障 证明了小波分析的
应用价值"-It is introduced for the cardinal principle of wavelet transformation. It is aimed at no steady state pulse signal feature when agricultural machinery product transmission gear have fault, select suitable wavelet, apply wavelet transformation to diagnose crackle fault of transmission gear.
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Size: 110592 |
Author: Peng |
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Description: 针对齿轮的故障诊断,提出了一种基于小波特征提取和BP神经网络的诊断系统,利
用小波分解后各频段能量的分布作为特征向量输入神经网络。试验表明该方法能准确地诊断出齿
轮的故障,具有广泛的应用前景
- Aimed at the gear fault diagnosis, a diagnosis systemwhich based on thewavelet for picking up character and
BP neural network are proposed, the energy distributing of each frequency segment which is decomposed by wavelet are
treated as the eigenvector and inputtheNN. The testingresult indicates thatthismethod can accurately diagnose the fault
of gear and has extensive application foreground.
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Size: 20480 |
Author: whb |
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Description: 基于小波包的信号瞬态成分检测与提取方法及其应用,提出基于小波包分解特征表示和瞬态特征重
建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬
态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。
-The detection and extraction of signal transients through wavelet packets decomposition are
studied and signal transient feature representation and extraction methods are proposed for automotive transmis-
sion gear fault diagnosis. The results show that the feature representation based on wavelet packets transform is
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Size: 65536 |
Author: whb |
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Description: 以齿轮箱的历史故障数据为依据,提出了齿轮故障诊断数据仓库的功能架构,并对数据的收
集、集成、存储等方面进行了研究,建立了齿轮故障诊断模型。为齿轮故障诊断提供了一种新的方法。
-The functional structure of datawarehouse of gear fault diagnosis is proposed based on gear fault date
previously. Research on data collect, data integration, data storage is carried out. The diagnosis model of gear fault
diagnosis is established. A newmethod of gear fault diagnosis is provided
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Size: 72704 |
Author: whb |
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Description: 针对传统方法在齿轮故障诊断中可靠性不高的问题,提出了基于证据理论的混合诊断算法。
根据齿轮故障特征向量,采用两个并行的BP神经网络进行局部故障诊断,获得彼此独立的证据。再用
证据理论对各证据进行融合,最终实现对齿轮的故障诊断。实例结果表明,该方法可充分利用各种故障
的冗余和互补信息,有效地提高诊断的可信度。
关键词 证据理论 齿轮 神经网络 故障诊断
-Gear Fault Diagnosis based on Evidence Theory
Xiong Wei Cheng Jiatang Xu Shaokun
(Engineering College, Honghe University, Mengzi 661100,China)
Abstract For the reason of low-reliability exists in the gear fault diagnosis of traditional methods, a method
based on evidence theory hybrid diagnosis algorithm is presented. According to the fault feature vectors, two parallel
BP neural networks are used to carry on local fault diagnosis to acquire the independent evidences each other. Then
evidence theory is employed to fuse evidences, and gear fault diagnosis is fulfilled finally. Example shows that, vari-
ous faults redundant and complement information can be sufficiently used and the reliability of diagnosis is effectively
improved.
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Size: 22528 |
Author: whb |
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Description: 齿轮箱具有传动比固定、传动转矩大、结构紧凑等
优点,是机械系统的重要部件。
-Gear Fault Diagnosis based on Evidence Theory
Xiong Wei Cheng Jiatang Xu Shaokun
(Engineering College, Honghe University, Mengzi 661100,China)
Abstract For the reason of low-reliability exists in the gear fault diagnosis of traditional methods, a method
based on evidence theory hybrid diagnosis algorithm is presented. According to the fault feature vectors, two parallel
BP neural networks are used to carry on local fault diagnosis to acquire the independent evidences each other. Then
evidence theory is employed to fuse evidences, and gear fault diagnosis is fulfilled finally. Example shows that, vari-
ous faults redundant and complement information can be sufficiently used and the reliability of diagnosis is effectively
improved.
Platform: |
Size: 63488 |
Author: whb |
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Description: 针对传统方法在齿轮故障诊断中可靠性不高的问题,提出了基于证据理论的混合诊断算法。根据齿轮故障特征向量,采用两个并行的BP神经网络进行局部故障诊断,获得彼此独立的证据。再用
证据理论对各证据进行融合,最终实现对齿轮的故障诊断。实例结果表明,该方法可充分利用各种故障的冗余和互补信息,有效地提高诊断的可信度。
-For the reason of low-reliability exists in the gear fault diagnosis of traditional methods, a method
based on evidence theory hybrid diagnosis algorithm is presented. According to the fault feature vectors, two parallel
BP neural networks are used to carry on local fault diagnosis to acquire the independent evidences each other. Then
evidence theory is employed to fuse evidences, and gear fault diagnosis is fulfilled finally. Example shows that, vari-
ous faults redundant and complement information can be sufficiently used and the reliability of diagnosis is effectively
improved.
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Size: 62464 |
Author: whb |
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Description: 小波分析在交通领域的应用（汽车变速器轴承故障诊断、变速器齿轮故障诊断和车辆非平稳振动分析）-Wavelet analysis in the application of the traffic (auto transmission bearing fault diagnosis, transmission gear fault diagnosis and vehicle the nonstationary vibration analysis)
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Size: 4096 |
Author: renshuai |
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Description: 基于小波提升的齿轮故障诊断的风力涡轮发电机的信号分析-Gear Fault Diagnosis of Wind Turbine Generator System Based on Lifting Wavelet- Zooming Envelope Analysis
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Size: 259072 |
Author: 张力 |
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Description: 齿轮故障识别，能够实现在无拆装状态下的故障检测，基于BP/elman神经网络的齿轮箱故障识别-Gear fault recognition, can achieve without disassembly state of the fault detection, based on the BP/elman neural network of gearbox fault recognition，MATLAB C
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Size: 1024 |
Author: wangshibo |
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Description: 齿轮故障诊断常用方法讲解, 包括信号处理法，模型法 ，智能法等(the ppt shows how to diagnosis faults of the gear)
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Size: 2249728 |
Author: luis
|
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