• Title/Summary/Keyword: transform

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Application of Envelop Analysis and Wavelet Transform for Detection of Gear Failure (기어 결함 검출을 위한 포락처리와 웨이블릿 변환의 적용)

  • Gu, Dong-Sik;Lee, Jeong-Hwan;Yang, Bo-Suk;Choi, Byeong-Keun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.32 no.11
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    • pp.905-910
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    • 2008
  • Vibration analysis is widely used in machinery diagnosis and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local fault, in local fault of gearboxes using the wavelet transform. Moreover, envelop analysis is well known as useful tool for the detection of rolling element bearing fault. In this paper, a acoustic emission (AE) sensor is employed to detect gearbox damage by installing them around bearing housing at driven-end side. Signal processing is conducted by wavelet transform and enveloping to detect her fault all at once gearbox using AE signal.

Application of Wavelet Transform for Correlation Analysis between Water Quality and Rainfall Data (수질 및 강우자료의 상관분석을 위한 웨이블렛 변환의 적용)

  • Jin, Young Hoon;Oh, Chang Ryol;Park, Sung Chun
    • Journal of Korean Society on Water Environment
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    • v.22 no.5
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    • pp.831-837
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    • 2006
  • The present study applies wavelet transform for the extraction of various periodicities which are included in TOC and pH time series of water quality and rainfall data. The primary objective of the present study is to detect the relationships between the respective data through the correlation analysis using the approximation components which are decomposed by wavelet transform. The results reveal the approximation components of TOC and pH in the 5th level of wavelet transform can explain more than 99% of the whole energy for the raw data respectively and there are considerably high correlation between the approximation components of the respective data used for the study even through no significant correlation between the raw data has been detected.

Scaling-Translation Parameter Estimation using Genetic Hough Transform for Background Compensation

  • Nguyen, Thuy Tuong;Pham, Xuan Dai;Jeon, Jae-Wook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.8
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    • pp.1423-1443
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    • 2011
  • Background compensation plays an important role in detecting and isolating object motion in visual tracking. Here, we propose a Genetic Hough Transform, which combines the Hough Transform and Genetic Algorithm, as a method for eliminating background motion. Our method can handle cases in which the background may contain only a few, if any, feature points. These points can be used to estimate the motion between two successive frames. In addition to dealing with featureless backgrounds, our method can successfully handle motion blur. Experimental comparisons of the results obtained using the proposed method with other methods show that the proposed approach yields a satisfactory estimate of background motion.

Thangka Image Inpainting Algorithm Based on Wavelet Transform and Structural Constraints

  • Yao, Fan
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1129-1144
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    • 2020
  • The thangka image inpainting method based on wavelet transform is not ideal for contour curves when the high frequency information is repaired. In order to solve the problem, a new image inpainting algorithm is proposed based on edge structural constraints and wavelet transform coefficients. Firstly, a damaged thangka image is decomposed into low frequency subgraphs and high frequency subgraphs with different resolutions using wavelet transform. Then, the improved fast marching method is used to repair the low frequency subgraphs which represent structural information of the image. At the same time, for the high frequency subgraphs which represent textural information of the image, the extracted and repaired edge contour information is used to constrain structure inpainting in the proposed algorithm. Finally, the texture part is repaired using texture synthesis based on the wavelet coefficient characteristic of each subgraph. In this paper, the improved method is compared with the existing three methods. It is found that the improved method is superior to them in inpainting accuracy, especially in the case of contour curve. The experimental results show that the hierarchical method combined with structural constraints has a good effect on the edge damage of thangka images.

A Comparison between Abel-Fourier and Digital Linear Filter Methods (Abel-Fourier법과 디지탈 선형필터법과의 비교)

  • Kim, Hee Joon
    • Economic and Environmental Geology
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    • v.20 no.2
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    • pp.119-123
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    • 1987
  • Hankel transform of order 0 can be represented by a combination of Abel transform and Fourier transform. This Abel-Fourier method can offer computational advantages over a conventional digital linear filter method through the uses of a rapid Abel transform with shift variant recursive filter and of a fast Fourier transform. The Abel-Fourier method, however, is generally less accurate than a well-designed digital linear filter method. In geoelectrical applications, the digital linear filter method seems to be more flexible than the Abel-Fourier method.

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Experimental Modal Analysis by Using Hilbert Transform of Signal from Continuous Scanning Laser Vibrometer (연속 스캐닝 레이저 진동계 신호의 Hilbert 변환을 이용한 실험적 모드 해석)

  • Kang, Min-Sig;Chang, Tae-Gyu;Kim, Ho-Sung
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.6
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    • pp.272-277
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    • 2002
  • This paper deals with the vibration deflection shape measurement technique for a sinusoidally excited structure using a continuously scanning laser Doppler vibrometer (CSLV). The CSLV output signal is an amplitude-modulated vibration in which the excitation signal is modulated by the deflection shapes, and thus the deflection shapes of vibration defined along a scan line can be derived by the envelop and the phase information of the CSLV output signal. In this work, a Hilbert transform based approach has been proposed for measurement of deflection shapes. This technique is as simple as the demodulation technique and allows more convenient experimental settings than the Fourier transform approach. The feasibility of the proposed technique is illustrated along with results of experiment.

New Approach to the Analysis of Linear Systems Via Local Rationalized Haar Transform (미소구간 유리하알변환에 의한 선형계의 해석을 위한 새로운 접근방법)

  • Kim, Jin-Tae;Ahn , Doo-Soo
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.6
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    • pp.228-234
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    • 2002
  • This paper proposes a real-time application of rationalized Haar transform which is based on the local rationalized Haar transform, local operational matrix and local delay operational matrix. This approach let a general sampling time be used by introducing a scaling factor. In the existing method of orthogonal functions, a major disadvantage is that process signals need to be recorded prior to obtaining their expansions. This paper proposes a novel method of rationalized Haar transform to overcome this shortcoming. And the proposed method is suitable for the analysis of linear systems. The proposed method is expected to the applicable to the adaptive control which demanded to the real-time applications.

Improvement of iterative fourier transform algorithm (Iterative Fourier transform algorithm의 개선)

  • 정재완;이승걸
    • Korean Journal of Optics and Photonics
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    • v.9 no.6
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    • pp.390-395
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    • 1998
  • Iterative Fourier transform algorithm (IFTA) was utilized for the phase retrieval problem or the optimal of the IFTA depends strongly on the selection of initial phase value. In this paper, we proposed the modified interactive Fourier transform algorithm in order to improve the convergence speed of error and the stability of convergence. The modified IFTA was reduced number of iteration about 30% than existing IFTA with the image size of 128$\times$128 pixel.

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Information Compression Based on Wavelet Transform (웨이블릿변환에 기반한 정보압축)

  • Kim, Eung-Kyeu;Lee, Soo-Jong
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.333-334
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    • 2006
  • In this study, information compression based on the wavelet technique is described. The principle of signal or image compression is performed by optimization of quantization, that is the bit allocation taking advantage of their energy concentration in low frequency components. The wavelet transform is one of frequency decomposition, such as the discrete cosine transform or sub-band filtering, and it is also implemented as a filter bank. Wavelet transform with use of spatially localized basis function can reduce several drawbacks in conventional methods. The benifit of wavelet based compression method is described as comparing the transform method to another ones.

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A Study on Application of Wavelet Transform to Electrical Load Discriminations (부하 판별을 위한 Wavelet 변환의 응용에 관한 연구)

  • 정종원;김민성;김태홍;이준탁
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.05a
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    • pp.109-112
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    • 2001
  • Recently, the subject of \"wavelet analysis\" has drawn much attention from both mathematical and engineering application fields such as Signal Processing, Compression/Decomposition, Statistics and ets. Analogous to Fourier analysis, wavelets is a versatile tool with very rich mathematical content and great potential for applications. Specially, wavelet transform uses localizable various mother wavelet functions in time-frequency domain. In this paper, discrimination analyses of acquired electrical current signals for each and mixed loads were tried by using Morlet wavelet transform. Their representative loads were classified as TV, DRY(Dryer), REF(Refrigerate), and FL(Fluorescent Lamp).

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