Xing Wu

Kunming University of Science and Technology

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Xiaoqin Liu

Kunming University of Science and Technology

Yu Guo

Kunming University of Science and Technology

Tao Liu

Shanghai Jiao Tong University

Chang Liu

Kunming University of Science and Technology

Jing Na

Kunming University of Science and Technology

Nan Pan

Kunming University of Science and Technology

Hua Li

Guizhou University

Zhengming Xiao

Kunming University of Science and Technology

Sen Wang

Kunming University of Science and Technology

Tangfeng Yang

Kunming University of Science and Technology

Cooperative Institutions

Kunming University of Science and Technology

Chinese Academy of Sciences

Guizhou University

Huazhong University of Science and Technology

Shanghai Jiao Tong University

Chongqing University of Posts and Telecommunications

Xi'an Jiaotong University

Tsinghua University

Zhejiang University

State Grid Corporation of China (China)

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Vehicle-Carrying Multi Channel Data Acquisition System Based on the CompactRIO

Applied Mechanics and Materials (2013)

Yun Lei Zhang Xing Wu Nan Pan Xu Wang

In order to obtain the key parameters which required by the Vehicle-Carrying test, the multi-channel data acquisition system based on CompactRIO embedded platform was developed. This system was satisfied the requirement of high reliability, inexpensive, portable and rapid configuration, Then, synchronized control technology such as queue, FIFO, interrupt and the superior system architecture which is compare to the state machine has been introduced in detail. Finally, availability and stability of the system were proved through the pressure text of data acquisition.

10.4028/www.scientific.net/amm.385-386.1260

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Citations (1)

Automatic acquisition of customer reviews

Journal of Computer Applications (2009)

Xing Wu

In this article,the authors labeled the consumer reviews got from the Web,and extracted the features of customer reviews content,selected the features of different reviews with CHI approach.Support Vector Machine(SVM) was used to get the classification,then to classify the updated consumer reviews and mine the useful reviews.The experiment shows that this way has high recall and precision.

Source

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Citations (1)

Localization error analysis of three-dimensional sound intensity measurement

Yi Lu Xiaoqin Liu Xing Wu

In this paper, the location error of sound location of three-dimensional sound intensity measurement method was researched. Four microphones are used on the intensity probe to measure the sound intensity in three dimensional, and to locate the sound source. The error of sound source localization with three-dimensional sound intensity was due to the finite difference error and the phase mismatch of microphones. The impact of the two factors on the precision of the localization were analyzed and verified by simulation. The localization experiments in the Semi-anechoic chamber showed the results were acceptable.

Anechoic chamber

Sound intensity probe

Intensity

10.1109/icmic.2017.8321681

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Citations (1)

Global optimization of wavelet-domain hidden Markov tree for image segmentation

Pattern Recognition (2011)

Yinhui Zhang Zifen He Yunsheng Zhang Xing Wu

Energy minimization

10.1016/j.patcog.2011.04.012

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Citations (17)

Study on dynamic instability characteristics of functionally graded material sandwich conical shells with arbitrary boundary conditions

Mechanical Systems and Signal Processing (2020)

Tao Fu Xing Wu Zhengming Xiao Zhaobo Chen

10.1016/j.ymssp.2020.107438

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Citations (40)

Enhanced Frequency Band Entropy Method for Fault Feature Extraction of Rolling Element Bearings

IEEE Transactions on Industrial Informatics (2020)

Hua Li Tao Liu Xing Wu Qing Chen

Frequency band entropy (FBE) has been proved usable in the fault diagnosis of rolling bearings, but its performance is poor in the presence of non-Gaussian noise and a low signal-to-noise ratio. In order to extract the transient impulsive signals more effectively, wavelet packet transform (WPT) is considered as an alternative method for signal decomposition. Therefore, by introducing WPT into FBE, this article introduces an enhanced FBE (EFBE) adopting WPT as the filter of FBE to overcome the shortcomings of the original FBE. Then, the depth of EFBE is optimized using adaptive resonance bandwidth and power amplitude spectrum entropy (PASE). Third, a novel method based on the indicator PASE is introduced to select the optimal node of EFBE. Finally, the filtered signal is combined with the envelope power spectrum to extract the fault feature frequency. In addition, an evaluation indicator is proposed to evaluate the performance of the EFBE. The simulation and cases are used to demonstrate the effectiveness and improved performance of the EFBE compared with the original FBE and other typical methods. The results show that the EFBE can detect various rolling bearing failures and implement its fault diagnosis effectively.

Frequency band

Rolling-element bearing

10.1109/tii.2019.2957936

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Citations (52)

Bearing fault feature extraction based on optimized EMD by adaptive resonance

Hua Li Tangfeng Yang Xing Wu Tao Liu Qing Chen

According to the problem of how to select the sensitive intrinsic mode functions (IMFs), which can reflect the fault characteristics effectively, a novel sensitive IMF selected method based on adaptive resonance (AR) is proposed. Firstly, a series of IMFs are obtained by EMD, and the power spectrums are obtained for the original vibration signal and each IMF component. Then the resonant frequencies are identified, and the resonant frequencies are taken as the center frequencies of the band-pass filters. Secondly, the band-pass filters are designed to obtain the filtering frequency bands of original vibration signal and each IMF. And the subordinate relationship between filtering band of each IMF with the filtering band of the original vibration signal are compared to select the sensitive IMF. Finally, Perform envelope demodulation analysis to the IMF, and the characteristic information are provided for the subsequent fault diagnosis. The method is applied to the simulated signal and the actual rolling bearing ball fault signal, and they all verify the effectiveness of the method, and it is superior to that select sensitive IMF based on the kurtosis maximum principle.

SIGNAL (programming language)

Kurtosis

Envelope (radar)

10.1109/icmic.2017.8321661

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Citations (3)

The Working Methods of the Servo Cam Grinder and its Accuracy Compensation Strategy

Advanced materials research (2012)

Xing Wu Xing Hong Huang Wen Guang Huang Xu Hua Pan

In order to solve the problems of the cam servo grinding motion control and the contour error detection method and dedicated program development, by the online measurement technology and SINUMERIK 840D system of interpolation table and electronic gear function, Coaxial movement superimposed on the control principle and the specific NC program to achieve high-speed precision grinding cam with discrete error compensation data. The grinding tests on engineering prototype, the experimental results show that the motion control and error compensation method can to compensate for the camshaft rotational speed difference, the servo system response deviation, hardware manufacturing errors repetitive impact factors.

Camshaft

Pulverizer

Interpolation

Servomechanism

Tachometer

10.4028/www.scientific.net/amr.542-543.1176

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Tooth Root Crack Detection of Planet and Sun Gears Based on Resonance Demodulation and Vibration Separation

IEEE Transactions on Instrumentation and Measurement (2019)

Yu Guo Lei Zhao Xing Wu Jing Na

Due to the epicyclic motion of planet gears, the vibration picked up from planetary gearboxes is different from that observed from the fixed-axis gearboxes. In particular, the vibration transfer path is time-varying, which makes the time synchronous averaging (TSA) not directly usable to reduce the nonsynchronous interferences for improving the signal-noise ratio (SNR) of vibration. Hence, it is difficult to detect teeth faults of planet and sun gears. In order to address this issue, a novel scheme is proposed in this paper, which combines the vibration separation, equi-angle resampling, and resonance demodulation approaches. In the proposed scheme, the complex envelope of the vibration is extracted by the fast kurtogram algorithm at first. Then, the envelope is equi-angle resampled to eliminate the inevitable speed fluctuations. Subsequently, a window function is used to grab the envelope data series at a fixed angular position related to the ring gear, such that the problems caused by time-varying vibration transfer paths are solved. Then, synthetic envelopes can be constructed by connecting the data in the data blocks according to the teeth mesh sequences of the interesting gear, where a data mapping scheme and a synthetic envelope determining strategy based on maximum kurtosis are introduced. Furthermore, the TSA is applied to the synthetic gear envelope to improve the SNR. Finally, spectral analysis is utilized to expose the characteristic frequencies. The effectiveness of the proposed method is validated by comparative experiments with the normal and faulty planet and sun gears in a planetary gearbox test rig.

Envelope (radar)

10.1109/tim.2019.2893011

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Citations (28)

Study and implementation of vehicle brake test system

Xu Wang Chang Liu Z. J. Xiao Xing Wu

This paper presents a study and implementation of vehicle brake test system based on CompactRIO, increasing multi-channel data acquisition of brake vibration and noise based on slowly changing signals and realizing the NVH signals test and analysis functions of the brake system. With the self-development data analysis module and hardware architecture composed of CompactRIO acquisition system, pc and LCD touch screen, the system implement two functions: accurate acquisition and data analysis. By vehicle tests, the results show that the system with high acquisition precision and powerful analysis functions can runs stably, and provide good technical support for testing and research of vehicle brake system.

10.1109/icinfa.2015.7279527

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Citations (2)