Description: 某一直升机齿轮箱上的早期损伤的特征是，在伴随振动信号上产生一个可变周期的非平稳扰动信号。要求按此特征构造一组有物理意义的数据仿真早期故障信号，应用小波变换技术分析故障的特征和发生时刻。-a helicopter gearbox early on the characteristics of the injury, In addition to the vibration signal produced a variable cycle perturbation of non-stationary signals. Click here to request a group of tectonic significance of a physical early fault simulation data signals Application of wavelet transform technical analysis of the features and fault occurred moments. Platform: |
Size: 55566 |
Author:zhangfei |
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Description: 某一直升机齿轮箱上的早期损伤的特征是，在伴随振动信号上产生一个可变周期的非平稳扰动信号。要求按此特征构造一组有物理意义的数据仿真早期故障信号，应用小波变换技术分析故障的特征和发生时刻。-a helicopter gearbox early on the characteristics of the injury, In addition to the vibration signal produced a variable cycle perturbation of non-stationary signals. Click here to request a group of tectonic significance of a physical early fault simulation data signals Application of wavelet transform technical analysis of the features and fault occurred moments. Platform: |
Size: 55296 |
Author:zhangyun |
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Description: 对齿轮箱进行振动试验，获得相应振动数据，然后通过此算法对数据进行处理得到稳态图-Of the gearbox vibration tests to obtain the corresponding vibration data, then this algorithm for steady-state map data processing Platform: |
Size: 1024 |
Author:张先生 |
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Description: 2011年虚拟仪器大赛获奖作品
1.基于NI CompactRIO的图书馆节能监控系统设计
2.基于虚拟仪器的齿轮箱故障诊断系统开发
3.基于NI LabVIEW 的移动机器人设计
4.基于光束扫描的共焦显微三维测量技术研究
5.海洋救助船主要动力设备监测与诊断系统的研究与设计
6.发动机振动与燃烧分析虚拟仪器的设计开发与应用研究
7.基于LabVIEW 的ZPW-2000A 测试系统软件关键模块的研究
8.基于LabVIEW 的单车试验数据采集系统
9.基于LabVIEW的钢琴调音系统-2011 Virtual Instrument Contest,
A library based on NI CompactRIO energy-saving monitoring system design
2 gearbox fault diagnosis system based on virtual instrument development
(3) mobile robot design based on NI LabVIEW
4 based on beam scanning confocal microscopy three-dimensional measurement techniques
Ocean salvage of the major power equipment monitoring and diagnostic system research and design
6. Engine vibration and combustion analysis of the virtual instrument design and development and applied research
7 Based on LabVIEW ZPW-2000A key modules of the test system software
8 based on LabVIEW cycling test data acquisition system
9 Piano tuning system based on LabVIEW
Platform: |
Size: 8176640 |
Author:何华 |
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Description: 这是一个对齿轮箱震动产生的信号进行捕捉并进行谱分析的程序 它应用了FFT变换算法-This is a gearbox vibration signals generated by capturing and spectral analysis procedures for the application of fast Fourier transform algorithm Platform: |
Size: 59392 |
Author:王海光 |
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Description: vibration poutre, diagnostic, rdm, bearing, gearbox, induction machine, my target is to make vibratory analysis and to extrac default origine frome current and vibration signal Platform: |
Size: 155648 |
Author:SAADAOUI |
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Description: 由于大多数变速箱系统下运作的变负荷影响振动系统的签名和一般很难识别错误的发生,我们开发了基于故障检测方案
使用自回归模型的残差拟合,计算得到的数据,在不同的负载条件下的一个变速箱。这个故障检测方案然后提出和测试使用完整的终身获得的数据从一个齿轮箱操作fr
-Since most gearbox systems operate under varying load which affect the vibration signature of the system and generally make it difficult to recognize the occurrence of a fault, we develop the fault detection schemes based on
the residuals calculated using autoregressive models fitted to the data obtained under various load conditions of a gearbox. This fault detection schemes is then proposed and tested using full lifetime data obtained from a gearbox operating from a new condition to a breakdown. Platform: |
Size: 171008 |
Author:张力 |
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Description: 针对风力发电机齿轮箱的故障，介绍常用的故障诊断方法，理论上分析齿轮箱故障振动
信号的特征，并用 软件仿真其振动信号 对比正常运行与发生故障时的频域信号波形，并进行了一定的分析，为风力发电机齿轮箱的故障诊断提供了参考-Wind turbine gearbox failures, to introduce fault diagnosis method theoretically analyze the characteristics of the vibration signal of a gearbox failure, software simulation of the vibration signal contrast to the normal operation and failure frequency domain signal waveform, and must analysis to provide a reference for the wind turbine gearbox fault diagnosis Platform: |
Size: 344064 |
Author:张力 |
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Description: 针对齿轮箱振动信号的非平稳性和非线性, 提出一种多重分形和支持向量机相结合的故障
诊断方法。运用多重分形理论方法对齿轮振动信号进行分析, 通过分析发现多重分形谱和广义维数作
为故障特征能够很好地反映齿轮箱的工作状态 对支持向量机的参数利用粒子群优化算法进行优化, 并
将齿轮箱振动信号的多重分形特征量作为支持向量机的输入参数以识别齿轮的故障类型。实验结果表明, 该方法在样本较小的情况下能够准确对齿轮箱的故障类型进行分类-Gearbox vibration signal of non-stationary and non-linear, the combination of a multifractal support vector machine fault diagnosis method. The use of multiple fractal theory methods to analyze gear vibration signals, through the analysis found multifractal spectrum and broad-dimensional number as the fault feature able to well reflect gearbox work state support vector machine parameters utilize particle swarm optimization algorithm to optimize and the multifractal characteristic quantities of the gearbox vibration signal as the input parameters of support vector machine to identify the type of gear failure. Experimental results show that the method in the case of a smaller sample can be accurately classify the type of failure of the gear box Platform: |
Size: 177152 |
Author:张力 |
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Description: 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文
中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise ratio, which greatly limits the application of existing diagnostic methods in the early diagnosis, how to obtain the actual vibration signal is to improve the quality of early gearbox fault diagnosis, independent component analysis (ICA) to provide a new way of thinking. In this paper, the application of the ICA in the early diagnosis of gearbox failure, the first analysis of the the mixed vibration signal model of the gearbox, then conducted experiments for specific bearing failure, isolated bearing vibration signal and use the fast ICA algorithm Platform: |
Size: 245760 |
Author:张力 |
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Description: 齿轮箱故障诊断中振动信号是非线性、非平稳的，所以在分析振动信号之前需要对信号进行平稳化处理，该段是EMD分解的程序。-Gearbox Fault Diagnosis vibration signal is nonlinear, non-stationary, so before analyzing vibration signals the need for a smooth signal processing, the segment is the EMD program. Platform: |
Size: 8192 |
Author:胡永红 |
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Description: Dimensionality reduction via variables selection – Linear and nonlinear
approaches with application to vibration-based condition monitoring
of planetary gearbox Platform: |
Size: 881664 |
Author:DUC |
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Description: 小波变换进行变速箱故障诊断
首先将s1和s2信号时域谱（s1代表维修前的振动信号，s2代表维修后的振动信号），画出来进行对比，会发现s1信号的振动幅值会比较高；然后对s1和s2分别进行小波分解并画出各层的时域谱，只对比s1和s2分后的最高时域谱，s2更加的具有周期性，且幅值较小，s2周期性不够明显，且振动过于密集。分析完时域谱后开始分析频谱，首先对原信号s1和s2fft转换，得到频谱图，如图，然后再对小波分析后高频部分进行fft转换，做出频谱图。对比后我们发现，在f 2375HZ出（也就是齿轮的啮合频率），s1信号频谱幅值会有急剧的升高，然后，其谐波的幅值也会增大。所以可以推断出该维修前的增速箱的齿轮可能出现问题。-Gearbox fault diagnosis based on wavelet transform s1 and s2 first time domain signal spectrum (s1 behalf of the vibration signal before maintenance, vibration signal s2 representative of repaired), drawn comparison, you will find a signal s1 vibration amplitude will be higher then s1 and s2 respectively wavelet decomposition and draw the layers of time-domain spectrum to only a maximum time domain spectroscopy s1 and s2 points after, s2 is more cyclical and smaller magnitude, s2 cyclical enough obviously, and the vibration is too dense. End domain spectral analysis after the beginning of the spectrum analysis, the first of the original signal s1 and s2fft conversion to give the spectrum, as shown, and then after the high frequency part of wavelet analysis fft transformation to make spectrum. We found that after the comparison, at f 2375HZ out (i.e. the gear mesh frequency), there will be a sharp increase in the amplitude spectrum of the signal s1, and then, the amplitude of the ha Platform: |
Size: 2048 |
Author:lililili |
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Description: 计算振动响应的过程，可以参考去改程序，行星齿轮箱动力学建模.....(The process of calculating the vibration response can refer to the modification program and the dynamic modeling of planetary gearbox......) Platform: |
Size: 2048 |
Author:无名小卒123 |
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