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基于小波尺度谱的转子系统碰摩声发射特性 总被引:2,自引:0,他引:2
针对转子系统动静件间发生碰摩时会引起弹性应变而产生声发射,进而可利用声发射来辨识和诊断碰摩故障的特点,首先对碰摩声发射和碰摩振动信号进行了试验对照研究,讨论基于声发射的碰摩辨识别方法的独特优越性.然后,着重对碰摩声发射的特性进行了试验研究,并借助于小波尺度谱优越的时频分析性能,利用小波尺度谱对碰摩声发射的时频特性、传播特性和频散特性等进行了详细分析.分析结果显示小波尺度谱非常适合碰摩声发射这种频率丰富、非平稳和非线性的多模态波,是模态声发射分析的有力方法. 相似文献
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提出利用声发射(Acoustic Emission,AE)技术监测机械密封动静环的碰摩状态。通过分析典型碰摩AE信号的特点,提出利用小波尺度谱和功率谱相结合的方法表征机械密封端面碰摩AE信号的特征信息,小波尺度谱能够直观地描述AE信号中各个脉冲的数目、到达时间、能量大小、在时频面上的分布及频率组成,为判断碰摩的类型、严重程度及发生时间提供准确信息,AE信号的功率谱图能够给出信号能量的具体值。在仿真和实验研究中该方法被有效运用于判别机械密封端面的偶然性碰摩、周期性碰摩和连续性碰摩。 相似文献
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研究了旋转机械转静件早期碰摩故障信号的检测问题。根据小波包分解能在所有频率范围聚焦、对信号奇异性非常敏感的特性,对比分析了不碰摩和早期碰摩振动信号的特征,得出应用小波包分解和信号重构的方法不仅可对早期碰摩进行准确诊断,还可确定碰摩的位置的结论,证明了该方法对碰摩故障进行诊断的可行性和有效性。 相似文献
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针对机械转子系统中碰摩故障发生时故障特征微弱及识别困难的问题,提出一种结合双树复小波包变换及频谱校正的故障诊断方法。首先对于振动位移信号中工频基波成分,采用频谱加矩形窗的频谱校正方法识别其谐波信息,通过构造补偿信号进行对消,以减少其对后续特征提取的影响。其次通过双树复小波包对补偿过的信号进行多尺度分解;最后对小波包子空间信号进行希尔伯特包络解调分析,通过瞬时幅值及瞬时频率信息诊断转子的动静碰摩故障。在转子实验台上进行了实验验证,结果表明提出的方法能有效提取转子碰摩产生的微弱故障特征。 相似文献
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基于小波包和HHT变换的声发射信号分析方法 总被引:5,自引:1,他引:5
针对声发射管道泄漏检测过程中的噪声干扰问题,对基于小波包和经验模态分解(EMD)的声发射信号处理方法进行了研究.采用小波包分解算法和经验模态分解都可以对管道泄漏声发射信号进行分解,但分解结果却存在一定区别.EMD是近年来非平稳信号分析领域的一个突破,对管道泄漏声发射信号进行EMD分解后,选择包含声发射特征的若干固有模式函数(IMF分量)进行重构,可以提取到管道泄漏声发射信号的本质特征,消除噪声信号的干扰.相对小波包分解方法而言,对根据IMF分量重构的声发射信号进行相关分析计算,得到的管道泄漏点的位置更为精确. 相似文献
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Zou JianChen JinPu YapengGeng ZunminState Key Laboratory of Vibration Shock & Noise Shanghai Jiaotong University Shanghai China 《机械工程学报(英文版)》2003,16(1)
Based on the simple hinge crack model and the local flexibility theorem, the corresponding dynamic equation of the cracked rotor is modelled, the numerical simulation solutions of the cracked rotor and the uncracked rotor are obtained. By the continuous wavelet time-frequency transform, the wavelet time-frequency properties of the uncracked rotor and the cracked rotor are discussed. A new detection algorithm that uses the wavelet time-frequency transform to identify the crack is proposed. The influence of the sampling frequency on the wavelet time-frequency transform is analyzed by the numerical simulation research. The valid sampling frequency is suggested. Experiments demonstrate the validity and availability of the proposed algorithm in identification of the cracked rotor for engineering practices. 相似文献
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0INTRODUCTIONSincethecoddleofthe1970's,abatchOfcompanieslikeHPinU.S.A.havedevelopedvariousdynamicsignalanalyzersbasedonFrsandhavebeenusedinavarietyofsignalmeasurementsandanalysissuchasstmcturalmodelanalysis,statemonitoringandfaultsdiagnosisofeqUipmentandnoiserealtimeoctaveanalysisetc,thisresultsinbigprogressofdynamicsignalanalysis.However,theFFTdefinedbyRiemafmintegTationisonlyabletoanalyzestaystatistical(smooth)signalsbutinefficienttonon-staystatistical(non-smooth)signalswhicharealso… 相似文献
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BO Lin QIN Shuren LIU Xiaofeng College of Mechanical Engineering Chongqing University Chongqing China 《机械工程学报(英文版)》2006,19(3):464-467
Some new theory and algorithms on wavelet analysis are proposed, including continuous wavelet transform (CWT), discrete wavelet transform (DWT), wavelet package transform (WPT), wavelet denosing and mother wavelet selection, etc. Using the component-based hierarchy mode, the platform for virtual instrument (VI) is constructed, and the functions such as data sampling, data analysis and data present, etc are provided. Subsequently, the wavelet analysis library is designed and developed. The library consists of expert system, experienced database, development platform and abundant wavelet analysis functional module, which together implement general and special wavelet analysis in the field of mechanical engineering, energy source, transportation and biomedicine, etc. Finally, the wavelet analysis virtual instrument library is applied to detect fault called engine knock. Experimental result indicates that the wavelet analysis virtual instrument library can efficiently solve the engineering problem such as detecting engine knock. 相似文献
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小波包分解方法在基于响应信号的结构损伤检测中被证明对损伤程度高度敏感,得到广泛的应用.在小波包分解中采用的是完全二进制分叉树型分解,而实际上在分解过程中部分子信号仅含有很少的信息量,对其再进一步分解是不必要的.通过引入熵的概念,可以对分解过程中的各层子信号进行选择,仅对含有足够丰富信息的子信号进行更进一步的分解.这样做可以有效减少最终所得子信号数目,在保持灵敏度的同时降低损伤指标的维数,有助于缩减损伤识别中神经网络的规模,对于大型复杂结构的损伤检测工作具有一定的意义. 相似文献
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In this work, an attempt has been made to develop a drill wear monitoring system which is independent to cutting conditions of the drilling process. A cost effective Hall-effect current sensor, which does not interfere with the process, has been used for acquiring motor current signature during drilling under different cutting conditions. An advanced signal processing technique, the wavelet packet transform has been used on the acquired current signature to extract features for indirect representation to the amount of drill wear. Experimental sensitivity analysis reveals that in comparison to time domain features, wavelet packet features are more sensitive to flank wear and less sensitive to the cutting conditions. A multilayer neural network model has then been developed to correlate the extracted wavelet packet features with drill flank wear. Experimental results show that the proposed drill wear monitoring system can successfully predict the flank wear with acceptable accuracy. 相似文献
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Karali Patra Surjya K. Pal Kingshook Bhattacharyya 《Machining Science and Technology》2007,11(3):413-432
In this work, an attempt has been made to develop a drill wear monitoring system which is independent to cutting conditions of the drilling process. A cost effective Hall-effect current sensor, which does not interfere with the process, has been used for acquiring motor current signature during drilling under different cutting conditions. An advanced signal processing technique, the wavelet packet transform has been used on the acquired current signature to extract features for indirect representation to the amount of drill wear. Experimental sensitivity analysis reveals that in comparison to time domain features, wavelet packet features are more sensitive to flank wear and less sensitive to the cutting conditions. A multilayer neural network model has then been developed to correlate the extracted wavelet packet features with drill flank wear. Experimental results show that the proposed drill wear monitoring system can successfully predict the flank wear with acceptable accuracy. 相似文献