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1.
将常规的双谱分析与倒谱技术相结合,提出了基于倒双谱的齿轮箱故障诊断方法。首先对齿轮箱振动信号进行双谱分析,以消除噪声的影响,再计算双谱的倒谱,对信号进行倒双谱分析,可有效提高信噪比,提取轴承的故障特征。齿轮箱轴承内外圈故障振动试验信号的研究结果表明,倒双谱分析能有效地诊断轴承的故障。  相似文献   

2.
滚动轴承故障诊断是机械故障检测中的一个重要方面. 为了提取滚动轴承微弱振动信号,给出了两种方法小波包-双谱分析法和Hilbert-双谱分析法,并就不同状况对两者进行了对比研究,结果表明,两者都克服了传统谱分析和普通双谱分析中不能充分体现故障信号的缺点.在高斯和非高斯噪声干扰很小时,前者优于后者;在高斯噪声干扰下,而前者更优于后者,在非高斯噪声干扰下,后者则无能为力,前者能够充分体现滚动轴承故障信息.所以小波包-双谱分析法为滚动轴承故障诊断提供了一种准确有效的方法.  相似文献   

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4.
切片双谱分析在离心泵故障诊断中的应用   总被引:2,自引:0,他引:2  
运用双谱及切片双谱分析技术对离心泵不同状态下的振动信号进行分析表明,离心泵在正常运行、地脚螺栓松动和空化状态下的双谱图的特征有着明显的差别,可以通过双谱对故障信号进行初步分类,且双谱的对角切片和反对角切片可以显著降低噪声干扰,进一步提取出故障特征频率,故可对离心泵的故障信号进行准确的分类和诊断。  相似文献   

5.
双谱分析及其在滚动轴承故障诊断中的应用   总被引:1,自引:0,他引:1  
双谱是处理非线性、非高斯性信号的有力工具,它包含了高阶谱的所有特性.针对滚动轴承具有非线性和非高斯的特性,利用双谱分析方法研究了不同故障模式下滚动轴承的双谱特性以及同一故障类型在不同程度时的双谱特性.实验结果表明,利用双谱特性能很好地区分滚动轴承的不同故障模式以及故障的严重程度,双谱分析方法在滚动轴承故障诊断中具有良好的工程应用前景.  相似文献   

6.
旋转机械故障的双相干谱特征及其识别   总被引:13,自引:0,他引:13  
提出了基于双谱分析的旋转机械故障诊断新方法.利用双相干谱函数提取机械振动信号中由故障引起的非线性相位耦合,并且加以分析.通过对几种典型的旋转机械故障分析表明,双相干谱不仅能敏感地监测故障的出现,而且可以有效地识别各种不同的故障模式.  相似文献   

7.
双谱分析能够有效地抑制信号中的高斯噪声,准确地分析信号中存在的二次相位耦合成分.但是,传统的双谱分析方法对于转子全周碰摩故障,尤其是早期碰摩故障,存在丢失信息的问题,无法区分正常转子与碰摩转子,诊断能力较弱.为此,基于双通道矢量谱的概念,提出了双谱能量法,并应用于碰摩转子故障的特征提取.实验结果表明,基于双谱能量的碰摩故障特征提取方法继承了双谱的优良特性,能够更加全面、准确地判别早期碰摩故障,是处理碰摩转子非线性信息的一种有效方法.  相似文献   

8.
《机械设计与制造》2017,(Z1):221-224
以圆柱齿轮为对象,提出了基于双谱图像的机械故障嵌入式诊断方法。首先,通过小波包阈值去噪、小波包重构、双谱分析生成故障信号的双谱图,并通第一类灰度矩来表征双谱图特征。这些特征统计量,作为BP神经网络模式识别算法的输入特征向量,从而对这些特征集合进行分类,识别出相应的齿轮故障类型。实验证明在具有噪声的情况下,该方法取得了比较理想的识别率,验证了基于图像识别的齿轮箱故障诊断方法的可行性。以OpenCV库编写的代码移植到嵌入式系统简单易行,开发效率高,程序运行可靠。  相似文献   

9.
提出了一种局部积分双谱分析方法,探讨了局部积分双谱抑制噪声的能力,利用局部积分双谱分析了正常齿轮和早期剥落齿轮振动信号。局部积分双谱可以分析出齿轮故障的调制现象,结果显示,局部积分双谱与传统的双谱切片相比能较全面地反映双谱信息,是处理齿轮故障调制现象的有力工具。  相似文献   

10.
柴油发动机曲轴轴承振动信号的双谱分析   总被引:4,自引:1,他引:3  
为提取柴油发动机曲轴轴承振动信号的故障特征,采用双谱的分析方法,提出了用双谱特征频率面来描述信号特征.通过用双谱分析曲轴轴承振动信号,在双谱模域内进行搜索,得到了信号的特征频率面.结果表明,信号采集的最佳部位为曲轴左右两侧机体,最佳转速为1 800 r/min以上,对角线以外的区域包含了大量的故障特征.双谱能消除发动机振动信号中的噪声,有效提取出曲轴轴承振动特征信号.  相似文献   

11.
The vibration signals of rotating machinery present a strongly non-linear and non-Gaussian behavior, and bispectrum is well suitable to analyze this kind of signals. Due to modulation or smearing, it is hard to extract the accurate frequency-based features from the bispectrum. A bispectral distribution for machinery fault diagnosis is developed in this paper. The binary images extracted from the bispectra are taken as features to construct the target templates, then, the nearest template classifier is constructed to achieve pattern recognition and fault diagnosis. The computing speed of this method is very high because the proposed algorithm just calculates the number of “1”. Finally, roller bearing and gear fault diagnosis are performed as examples, respectively, to verify the feasibility of the proposed method.  相似文献   

12.
基于AR双谱的溢流阀故障诊断   总被引:3,自引:0,他引:3  
叙述了高阶谱应用于溢流阀故障诊断,并提出一种诊断溢流阀故障的方法。介绍了双谱的定义,进一步强调了高阶谱在提取故障信号的应用,文章对采样的数据进行处理后,用高阶累积量对数据建立AR模型,再进行双谱分析,针对溢流阀的双谱结构图、等高线图和其双谱切片图在正常情况和故障情况的不同进行对比,差异明显。结果说明,用高阶谱来诊断溢流阀故障是可行的,有效的。  相似文献   

13.
This paper presents the use of the induction motor current to identify and quantify common faults within a two-stage reciprocating compressor based on bispectrum analysis. The theoretical basis is developed to understand the nonlinear characteristics of current signals when the motor undertakes a varying load under different faulty conditions. Although conventional bispectrum representation of current signal allows the inclusion of phase information and the elimination of Gaussian noise, it produces unstable results due to random phase variation of the sideband components in the current signal. A modified bispectrum based on the amplitude modulation feature of the current signal is then adopted to combine both lower sidebands and higher sidebands simultaneously and hence characterise the current signal more accurately. Based on this new bispectrum analysis a more effective diagnostic feature, namely normalised bispectral peak, is developed for fault classification. In association with the kurtosis value of the raw current signal, the bispectrum feature gives rise to reliable fault classification results. In particular, the low feature values can differentiate the belt looseness from the other fault cases and different degrees of discharge valve leakage and inter-cooler leakage can be separated easily using two linear classifiers. This work provides a novel approach to the analysis of stator current for the diagnosis of motor drive faults from downstream driving equipment.  相似文献   

14.
GEAR CRACK EARLY DIAGNOSIS USING BISPECTRUM DIAGONAL SLICE   总被引:2,自引:0,他引:2  
A study of bispectral analysis in gearbox condition monitoring is presented. The theory of bispectrum and quadratic phase coupling (QPC) is first introduced, and then equations for computing bispectrum slices are obtained. To meet the needs of online monitoring, a simplified method of computing bispectrum diagonal slice is adopted. Industrial gearbox vibration signals measured from normal and tooth cracked conditions are analyzed using the above method. Experiments results indicate that bispectrum can effectively suppress the additive Gaussian noise and chracterize the QPC phenomenon. It is also shown that the 1-D bispectrum diagonal slice can capture the non-Gaussian and nonlinear feature of gearbox vibration when crack occurred, hence, this method can be employed to gearbox real time monitoring and early diagnosis.  相似文献   

15.
齿轮裂纹故障的双谱分析   总被引:7,自引:0,他引:7  
王凯  张永祥  李军 《机械强度》2006,28(3):346-348
齿轮振动信号中的非线性给故障特征的提取带来较大难度,通过分析裂纹齿轮振动信号非线性产生的原因,利用双谱分析具有提取信号非线性耦合特征的能力,将双谱分析应用于齿轮裂纹的故障诊断中。试验结果表明,该方法能够有效地将正常及不同裂纹程度的齿轮区分开来。  相似文献   

16.
在对双谱和瞬时转速信号的特点进行分析的基础上,测量了6-135柴油机在正常和气阀泄漏故障状态下的瞬时转速,分别计算其双谱,得到了具有明显区别的双谱图;通过计算双谱对角切片,可以容易且有效地识别故障的存在;根据瞬时转速的双谱特征进行故障诊断,故障特征明显,诊断效果良好。  相似文献   

17.
ORDER BISPECTRUM: A NEW TOOL FOR RECIPROCATED MACHINE CONDITION MONITORING   总被引:1,自引:0,他引:1  
Vibrations and sounds generated by reciprocated machines or by their parts strongly depend on the rotation speed of the main shaft of the tested reciprocating system. At the testing or at common performance of the reciprocated machines, their rotation speed is usually changing. With regard to this fact, signals produced by reciprocating machines are non-stationary ones. Therefore, conventional time-invariant methods of their spectral or bispectral analysis are frequently unable to provide meaningful results. In order to solve this problem in the field of polyspectral signal analysis, the order bispectrum analysis is proposed in this contribution. This approach is based on the bispectrum estimation from the signal which is a function of the angle of roll of the main shaft of reciprocated machine. A digital representation of this signal can be obtained by resampling of the signal conveniently sampled in the time domain. The advantages of the order bispectrum application in comparison with that of the conventional bispectrum approach is illustrated based on the example of an engine set classification.  相似文献   

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