Application of Complex Shifted Morlet Wavelet in Vibration Monitoring of Spindle Bearing of Crank Shaft Grinder

Wang, Guo Feng; Wang, Tai Yong; Ren, Cheng; Li, H.W.; Wang, X.B.

doi:10.4028/www.scientific.net/kem.259-260.697

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…In this research, the complex Morlet wavelet was chosen, since it provided a good balance between the time and frequency localization and it returned information about both amplitude and phase. The complex Morlet wavelet both in time and frequency domain are mathematically defined as [20]:…”

Section: Time-frequency Analysis Methodsmentioning

confidence: 99%

Improvement of Intake Structures in a Two-Way Pumping Station with Experimental Analysis

Zhang

et al. 2020

Applied Sciences

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Pumping stations are important regulation facilities in a water distribution system. Intake structures can generally have a great influence on the operational state of the pumping station. To analyze the effects of the bell mouth height of the two-way intake on the performance characteristics and the pressure pulsations of a two-way pumping station, the laboratory-sized model pump units with three different intakes were experimentally investigated. To facilitate parameterized control, ellipse and straight lines were used to construct the profile of the bell mouth. The frequency domain and time-frequency domain of the pressure pulsations on the wall of intakes were analyzed by the Welch’s power spectral density estimate and the continuous wavelet transform (CWT) methods, respectively. The results showed that the bell mouth height (H) has significant influences on the uniformity of the impeller inflow and the operation stability of the pump unit. When H = 204 mm, the data fluctuated greatly throughout the test process and the performance curves are slightly lower than the other two schemes. As the bell mouth height gradually decreases, the average pressure difference of each measuring point began to decrease, more homogeneous velocity distribution of impeller inflow can be ensured. The amplitude of blade passing frequency is obvious in the spectrum. While when (H) is more than 164 mm, the main frequency of pressure pulsations at three points fluctuates with the rotation of the impeller. When H decreases to 142 mm, pressure pulsations will be independent of the operating conditions and positions which contributes to the long-term stable operation of the pump unit.

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Section: Time-frequency Analysis Methodsmentioning

confidence: 99%

Improvement of Intake Structures in a Two-Way Pumping Station with Experimental Analysis

Zhang

et al. 2020

Applied Sciences

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“…As one of the main parts of rotating machinery [1][2][3][4], rolling bearings are widely used in high-end manufacturing, including aviation [5,6], automobiles [7,8], and ships [9,10]. However, influenced by load, installation, and lubrication factors, a variety of failures appear [11,12], which are easily overwhelmed by complex noise in a complex and changeable working environment.…”

Section: Introductionmentioning

confidence: 99%

Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition

Wang,

Li,

et al. 2023

Sensors

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Due to the difficulty in dealing with non-stationary and nonlinear vibration signals using the single decomposition method, it is difficult to extract weak fault features from complex noise; therefore, this paper proposes a fault feature extraction method for rolling bearings based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and variational mode decomposition (VMD) methods. CEEMDAN was used to decompose the signal, and the signal was then screened and reconstructed according to the component envelope kurtosis. Based on the kurtosis of the maximum envelope spectrum as the fitness function, the sparrow search algorithm (SSA) was used to perform adaptive parameter optimization for VMD, which decomposed the reconstructed signal into several IMF components. According to the kurtosis value of the envelope spectrum, the optimal component was selected for an envelope demodulation analysis to realize fault feature extraction for rolling bearings. Finally, by using open data sets and experimental data, the accuracy of envelope kurtosis and envelope spectrum kurtosis as a component selection index was verified, and the superiority of the proposed feature extraction method for rolling bearings was confirmed by comparing it with other methods.

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“…Choosing a suitable combination of bandwidth and center frequency parameters is a design question, and depends on the signal under analysis. [8] describe a method to choose these parameters based on the sampling frequency of the signal and the number of sample points. Figure 6 shows the effect of the bandwidth parameter on Morlet wavelets in both the time and frequency domains.…”

Section: Wavelet Methodologymentioning

confidence: 99%

A methodology for analyzing vibration data from planetary gear systems using complex morlet wavelets

Saxena

Vachtsevanos

Proceedings of the 2005, American Control Conference, 2005.

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Planetary gear trains are complex flight critical components of helicopters and other aircraft. Failure modes on such components may lead to loss of life and/or aircraft. It is essential, therefore, that incipient failures or faults be detected and isolated as early as possible and corrective action be taken in order to avoid catastrophic events. Research thus far has focused on gear teeth faults and available methods could not detect a crack in the planetary gear plate under all operating conditions. A wavelet domain methodology is suggested for the analysis and feature extraction of the vibration data from the planetary gear system of military helicopters. Complex Morlet wavelets are employed and the time domain knowledge, preserved by the wavelet decomposition, is used to extract useful features that distinguish between faulted and healthy gear plates from experimental data made available from both on-aircraft and test cell experiments. A statistical method based on the z-test is also suggested to evaluate the relative performance of these features.

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Application of Complex Shifted Morlet Wavelet in Vibration Monitoring of Spindle Bearing of Crank Shaft Grinder

Cited by 4 publications

References 6 publications

Improvement of Intake Structures in a Two-Way Pumping Station with Experimental Analysis

Improvement of Intake Structures in a Two-Way Pumping Station with Experimental Analysis

Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition

A methodology for analyzing vibration data from planetary gear systems using complex morlet wavelets

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