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Research of Acoustic Emission Testing Method with Application to Monitored for Wind Turbines
Qin Hongwu,Zhang Chao,Zhang Xian,Fan Qinyin 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.1
Acoustic Emission method of nondestructive check is based on exertion wave radiation and their registration during fast local material structure reorganization. It is used as a means of analysis of materials, constructions, productions control and diagnosis during operating time. In the article, it is applied to structural health monitoring of Wind Turbines. Acoustic emission testing is based condition monitoring system uses data already collected at the wind turbine controller. It is an effective way to monitor wind turbines for early warning of failures and performance issues. We used a number of measurements to develop anomaly detection algorithms and investigated classification techniques using clustering algorithms and principal components analysis for capturing fault signatures. When registering signal amplitude it is required to consider its frequency distribution connecting each amplitude rate with the corresponding vibration rate. The correlation and signal to noise ratio were evaluated by the algorithm based on frequency spectrum. Classical method of frequency distortion influence exclusion consists of FRF calculation with subsequent adjustment of received signals spectral characteristics.
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Experimental Research for Performance and Noise of Small Axial Fan
Ito, Takahiro,Minorikawa, Gaku,Fan, Qinyin Korean Society for Fluid machinery 2009 International journal of fluid machinery and syste Vol.2 No.2
Small axial fans have become widely used as cooling devices in recent years. Because of their increasing importance, studies have been conducted on ways to improve the performance and reduce the noise of such fans. In this report, a small axial fan with a diameter of 85 mm (a type popularity used in personal computer or workstation) was selected for further examination. The influence on aerodynamic performance and noise of such frame design parameters as blade tip clearance results in a decrease of discrete frequency noise and an increase of broad-spectrum noise. As for the most suitable design refinement in terms of fan efficiency, we found that the treatment of outlet corner roundness and altering spoke skew to the direction counter to that of fan rotation was effective.
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Analysis Technique of Spectral Characteristics AE Signals with Application to Monitored for WT
Qin Hongwu,Zhang Xian,Chu Wei,Fan Qinyin,Peng Jincheng,Jia Tongli 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1
The paper presents the results of an assessment with a range as real AE signals are received at destruction of spot welding, and imitated by means of a AE transducer are given in work, efficiency use of high-frequency area for recognition of AE signals against hindrances is shown. The actuator is excited by an impulse signal instead of a sinewave, and the responses are measured with the PE sensors. The spectral characteristics of AE signals should use broadband transducers with the rise in the PE side of the treble to compensate for PE of the sample, and partly of the signal spectrum, which is reduced the measurement error of the absolute values. The damage could be indicated in an experiment, but it turned out that the sensitivity is low if the damage is not in the path between actuator and sensor. When a machine has a mistake, it leads to energy loss and results in the transformation of sound, heat and the whole performance. The basis of most condition monitoring techniques WT has been constructed by the various features.
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An Image Fusion Algorithm Based on Non-subsampled Shearlet Transform and Compressed Sensing
XING Xiaoxue,LI Jie,FAN Qinyin,SHANG Weiwei 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.3
In order to obtain rapid fusion speed, an image fusion algorithm based on Non-subsampled Shearlet Transform (NSST) and Compressed Sensing (CS) is presented. The source images are decomposed with NSST. Based on local area energy, the low-frequency coefficients are fused. The high-frequency coefficients are compressed, fused and reconstructed with CS. Based on global gradient, the measurements of high-frequency coefficients are fused. The inverse NSST is used to get the final fused image. During the fusion course, only the compressed data of the high-frequency coefficients are fused, so the fusion effects can’t be affected. At the same time, the running time can be reduced. In this paper, the multi-focus images are used to verify the algorithm effectiveness. The simulation results indicate that the fusion image can be achieved without prior knowledge of the original images. Although the fusion quality is sacrificed when the sampling rate becomes higher, the algorithm can significantly reduce the time cost and hardware requirements. The algorithm provides an idea on how to satisfy the real time requirements in the fusion system.
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Chen Zhen,Xing Xiaoxue,Guo Pan,Fan Qinyin 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.8
After the image decomposition with Non-subsampled Shearlet Transform (NSST), the transform coefficients have a larger redundancy. In order to reduce the redundant information, an image fusion algorithm based on NSST and non-negative matrix factorization (NMF) is introduced. The source images are decomposed with NSST into the low-frequency coefficients and the high-frequency sub-band coefficients. The low-frequency coefficients are fused based on NMF theory. The high-frequency coefficients are fused based on Regional Sum Modified-Laplacian (SML) Maximum. Finally, the inverse NSST is used to reconstruct the final fused image. The proposed algorithm can effectively remove redundant information, extract global features and capture more direction details information of multi-source image. Experiments show that the proposed algorithm has obvious advantages and the fused image quality has been greatly improved. The presented algorithm is superior to other fusion algorithms from the objective parameters.
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