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- gear faults signal 齿轮故障信号
- The actuality of the gear fault theory and diagnosis technology is discussed. 介绍了齿轮故障理论及诊断技术的现状;
- The experimental results show that order cepstrum analysis can effectively diagnosis the gear faults. 实验分析结果表明该方法能有效地识别齿轮的故障类型。
- The analysis of individual segment reveals more sensitively the changes of the vibration signals in both time and frequency domain caused by gear faults. 它将振动平均信号等距分段(所分段数与被监测齿轮齿数相等),然后对分段信号进行频谱分析等。
- Abu-Mahfouz I A.A comparative study of three artificial neural networks for the detection and classification of gear faults[ J ].International Journal of General Systems,2005 (7). 李国臣;陈丽君;张锐.;人工神经网络技术在机械故障诊断中的应用探讨[J]
- At present, transient fault signal of HV/EHV transmission line is analyzed by wavelet transform. 目前国内主要是采用小波变换的方法分析高压输电线路故障后的暂态信号。
- On the basic of simulation, FTF is applied to gear fault system and get good effect.It can pick-up characteristic of the fault.So it can be used. 在仿真基础上,将FTF算法应用于齿轮故障信号的提取上,取得较好的效果,能够得到明显的故障特征,方法切实可行。
- In this paper,a new method of motor fault signal frequency pursuitting based on marginal spectrum of Hilbert-Huang transform(HHT) was presented. 提出了将HHT变换(Hilbert-HuangTransform,简称HHT)中边际谱应用于电机故障信号频率跟踪研究的新方法。
- A new method for applying to the study of tractor's gear fault diagnosis, which based on BP neural network and improved by PCA theory, is introduced. 摘要介绍了基于主元分析(PCA)理论改进后的BP神经网络在拖拉机齿轮故障诊断中的应用;
- The result of the application indicates that the characteristics of gear fault vibration signals can be extracted by EMD method efficiently. 研究结果表明,EMD方法可以有效地提取齿轮故障振动信号的特征。
- By using the characters and advantages of wavelet transform with MRA and local time-frequency domain, the feature parameter group which reflecting gear fault features is built. 摘要运用小波变换的多分辨和时频局部化特性,建立故障徵兆的初始徵参数集合。
- The amounts of fault signal records are increasing rapidly with the elevation of fault monitoring level, which leads to troubles for data transmission and storage, therefore the research of data compression is paid more and more attention. 摘要随着对电力系统故障过程监控水平要求的逐步提高,急剧增大的故障录波器数据量给数据传输和储存带来了很大的困难,因此数据压缩也越来越受到人们的关注。
- In chapter 1, Firstly, fault feature extraction methods and their characteristics in FDD are introduced briefly, research progress, existing problems and application prospects on the fault signal processing with wavelet are stated in detail. 第一章概述了故障检测与诊断技术中故障特征提取方法的研究进展、存在问题及应用前景。
- By digital simulation and detection of gearbox fault signal the detection effect of the novel bilinear time-frequency transform is validated for the transient components in complex signal. 通过数字模拟实验与齿轮箱故障信号检测,验证了新的双线性时间-频率分布对复杂信号中瞬时分量的探测效果。
- The proposed scheme directly reconstructs the fault signal rather than obtaining it by generating and evaluating the residual signals. 该方法能够直接重构故障信息而不是通过产生和评价残差信号得到故障信息,从而避免了产生和评价残差信号的复杂性。
- The driven gear fits its driving gear like a glove. 这个从动齿轮与它的主动轮啮合得非常好。
- Weak periodical fault signals can be extracted successfully from the background of QT. 本文以类随机电报为背景,成功地提取了弱周期性故障信号;
- My whole morning's work has been put out of gear by that mishap. 我一个上午的工作全让这倒霉的事给弄得乱了套。
- Research on Gear Fault Diagnosis Based on EMD 基于EMD的齿轮故障识别研究
- Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals. 充分利用了神经网络极强的模式分类能力,用神经网分类器对故障信号进行多参量识别。