scholarly journals Application of Vibration Signal Processing Methods to Detect and Diagnose Wheel Flats in Railway Vehicles

2021 ◽  
Vol 11 (5) ◽  
pp. 2151
Author(s):  
JaeSeok Shim ◽  
GeoYoung Kim ◽  
ByungJin Cho ◽  
JeongSeo Koo

This paper studied two useful vibration signal processing methods for detection and diagnosis of wheel flats. First, the cepstrum analysis method combined with order analysis was applied to the vibration signal to detect periodic responses in the spectrum for a rotating body such as a wheel. In the case of railway vehicles, changes in speed occur while driving. Thus, it is difficult to effectively evaluate the flat signal of the wheel because the time cycle of the flat signal changes frequently. Thus, the order analysis was combined with the existing cepstrum analysis method to consider the changes in train speed. The order analysis changes the domain of the vibration signal from time domain to rotating angular domain to consider the train speed change in the cepstrum analysis. Second, the cross correlation analysis method combined with the order analysis was applied to evaluate the flat signal from the vibration signal well containing the severe field noise produced by the vibrations of the rail irregularities and bogie components. Unlike the cepstrum analysis method, it can find out the wheel flat size because the flat signal linearly increases to the wheel flat. Thus, it is more effective when checking the size of the wheel flat. Finally, the data tested in the Korea Railroad Research Institute were used to confirm that the cepstrum analysis and cross correlation analysis methods are appropriate for not only simulation but also test data.

2019 ◽  
Vol 11 (1) ◽  
pp. 01025-1-01025-5 ◽  
Author(s):  
N. A. Borodulya ◽  
◽  
R. O. Rezaev ◽  
S. G. Chistyakov ◽  
E. I. Smirnova ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhonghui Ding ◽  
Kai Shi ◽  
Bin Wang

This paper analyzed the influence of dollar on crude oil and gold based on the multifractal detrended partial cross-correlation analysis method. It showed that affected by the dollar, the crude oil and gold markets have a partial cross-correlation relationship which is stronger than their own cross-correlation. The partial cross-correlation is long-term and has multifractal characteristics. Through shuffled and Fourier-phase randomization, it is found that this multifractal feature is caused by the combined effect of the long-term cross-correlation between the returns and the fluctuation fat-tailed distribution, where the influence of the fat-tailed distribution is slightly greater than that of the long-term cross-correlation between the returns.


Volume 1 ◽  
2004 ◽  
Author(s):  
Mansa Kante ◽  
Yulin Wu ◽  
Yong Li ◽  
Shuhong Liu ◽  
Daqing Zhou

The wavelet cross-correlation method was used to analyze the unsteady signals of the flow of the model open pump sump, which include pressure signal, vibration signal and acoustic signal. The continuous wavelet transform was done first to find the signal distribution at various periods and at any time, then the wavelet cross-correlation was used to find the relationship between the signals taken two a two. Through comparing the result of wavelet cross-correlation and the result of classic cross-correlation, one can find the correlation scale of any two unsteady signals (pressure-vibration, pressure-noise, and vibration-noise). The signal on the correlation scale was reconstruct and its characteristics were obtained using classical signal analysis method same as the structural similarity of a arbitrary two signals.


2012 ◽  
Vol 490-495 ◽  
pp. 1903-1907
Author(s):  
Qi Lin ◽  
Shui Liang Yu

Shaft torsional vibration is critical to rotating machinery as internal combustion engines because it may cause disasters if we ignore its significance. This paper introduced a portable digital system we developed to derive torsional vibration signal by a Hall Effect transducer. By analyzing the signal in frequency domain, we furthered the study on the influence of torsional vibration in each order under various rotation rates to determine the torsional resonant frequency. Moreover, a comparison between several signal processing methods in frequency domain was investigated and an optimum method for the spectrum correction obtained subsequently. Experiments conducted by this portable digital system showed its good performance in shaft torsional vibration measurements, analysis and trouble diagnosis.


2019 ◽  
Author(s):  
SF Woodward ◽  
MO Magnasco

AbstractRelative to individually distinctive signature whistles, little is known about the “non-signature” calls – particularly the non-signature whistles – of the common Atlantic bottlenose dolphin, Tursiops truncatus. While such calls are suspected to serve social function, tracking their exchange among conspecifics and correlating their usage with non-acoustic behavior has proven challenging, given both their relative scarcity in the dolphin repertoire and their characteristic shared use among dolphins, which precludes the unique identification of callers on the basis of whistle properties alone. Towards the goal of robustly identifying the callers of non-signature whistles (equivalently, attributing non-signature whistles to callers), we present a new, long-term audiovisual monitoring system designed for and tested at the Dolphin Discovery exhibit of the National Aquarium in Baltimore, Maryland. In this paper, we confirm the system’s ability to spatially localize impulse-like sounds using traditional signal processing approaches that have already been used to localize dolphin echolocation clicks. We go on to provide the first rigorous experimental evaluation of the component time-difference-of-arrival-(TDOA) extraction methods on whistle-like tonal sounds in a (reverberant) aquatic environment, showing that they are generally not suited to sound localization. Nevertheless, we find that TDOA extraction under these circumstances is performed significantly better using a Generalized Cross-Correlation with Phase Transform (GCC-PHAT) method than a standard circular cross-correlation method, a potentially important result.


Author(s):  
Qiaoyan Zhang ◽  
◽  
Lixian Wang ◽  
Shang Jin ◽  
Xiaozhen Hao ◽  
...  

In this study, a wavelet denoising method is first used to eliminate the influence of noise. Then, an overlapping smooth window technique is introduced into the asymmetric multifractal detrended cross-correlation analysis method, which was combined with the multiscale multifractal analysis method, resulting in the proposed asymmetric multiscale multifractal detrended cross-correlation analysis method. This method not only remedies the pseudo-fluctuation defect of the traditional method, but also explores the asymmetric multifractal cross-correlation between China’s rebar futures and spot markets at different scales. The results show the existence of an asymmetric multifractal cross-correlation between rebar futures and spot markets with upward and downward trends at different scales. This cross-correlation is highly complex at the small-scale, and more pronounced when the futures market is in an uptrend.


2014 ◽  
Vol 633-634 ◽  
pp. 1256-1262
Author(s):  
Yan Fei Liu ◽  
Qi Wei Wang ◽  
Shu Yun Wang ◽  
Shuang Zhang ◽  
Jia Ming Cao ◽  
...  

The turbofan double-rotor engine with afterburner, as a certain type of aero-engine, often presents itself with vibration fault problems in the process of trialing run in the ground text and installed the work process of state, which will affect test the factory qualified rate and the flight mission seriously. In this paper, we mainly adopt the order analysis method to find out the reasons of the engine's vibration hazard from its vibration signal, and then make pertinence measures to solve vibration fault problems, which are combined with vibration test and analysis system of the ground text in the process of actual application. The results of the paper analyze the problem of engine vibration fault effectively and reduce the incidence of engine vibration fault, So as to increase the qualified rate of the engine in the ground test.


2020 ◽  
Vol 1650 ◽  
pp. 022040
Author(s):  
Zhichao Huang ◽  
Weiqing Yu ◽  
Juping Liu ◽  
Yihua Hu

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