Papers by Keyword: Signal Processing

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Authors: Chen Chen Liu, Zheng You Wang, Jin Sha
Abstract: According to the ambiguous definition of Information Engineering Specialty (IES) and its weakened characteristics in Shijiazhuang Tiedao University, the research determined the specialty’s orientation based on the educational goal, and reformed correspondent curriculum system by constructing several course groups. In this paper, as an example, we select and focus upon the development of signal and information processing course group, which is the most important operational part to guarantee our educational objective of IES, namely thick foundation, broad range, strong ability and high quality. Along with amendment of theoretic contents in teaching, we also proposed an experiment instruction modal to strength students’ practical ability in information engineering. In the end, a new curriculum framework was built. Through specific result, the proposed curriculum reform method is proved to improve our cultivation quality and the students’ professional competence.
Authors: Shan Shan Li, Tao Hao, Zheng Yu Liang
Abstract: On the basis of comparative research on primary frequency regulation (PFR) evaluation index of each grid bureau, a comprehensive evaluation index system of PFR is established, including some specific solution scheme according to problems existing in PFR evaluation index of Central China power grid bureau. The index system ensures a more precise and accurate evaluation of actual PFR process. Meanwhile, accurate data source is provided for correct calculation of PFR index through signals processing of wide area measurement system (WAMS) data.
Authors: Zhi Zhou, Xing Man Yang, Gang Chen
Abstract: As a conventional signal denoising method, wavelet thresholding denoising has problems including selection of basis vectors and poor denoising effect. EMD is an expansion of basis functions that are signal-dependent, but with the problem of mode mixing. In order to solve these problems, a denoising method based on EEMD and interval-thresholding strategy, an adaptive signal processing method is proposed, which can achieve good effects for signal denoising. Firstly, investigated signal is decomposed into IMFs by EEMD adaptively. Then, each IMF is denoising by interval-thresholding method based on sparse code shrinkage. Lastly, the denoised signal is reconstructed by denoised IMFs. Moreover, the presented method is validated by numerical simulation experiment.
Authors: Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal, Nilotpal Banerjee
Abstract: In this paper, a heuristic optimization technique called Harmony Search Algorithm (HSA) is efficiently employed to design Infinite Impulse Response (IIR) Discrete Fractional Order Integrators (DFOIs). Unlike the methods reported in the literature, no discretization (s-to-z transform) operator is necessary to obtain the DFOIs by using the proposed approach. To investigate the design efficiency, the HSA-based DFOIs have been evaluated against the designs based on Real coded Genetic Algorithm (RGA), Particle Swarm Optimization (PSO), and Differential Evolution (DE) using different frequency response error metrics. The reliability in the performance of the proposed DFOIs are extensively investigated by conducting various statistical tests. Comparison of fitness convergence demonstrates that HSA achieves the near global optimal solution in the least number of iterations. Thus, HSA exhibits superior computational efficiency in solving this multimodal optimization problem. The proposed DFOIs also outperform the reported designs.
Authors: Feng Chen Qian, Ning Shan, Ya Lin Ye, Yong Zhong Ma, Xue Yan Hu
Abstract: The paper proposed a data compression method in multiresolution structure and realized multiresolution rendering of point model by traversing the KD-tree breadth-first. It established the details control of multiresolution rendering, improved the drawing efficiency of point model. And a simulation study was carried out. Results show that the method could not only reduce the geometry data volume of point models directly, but also reduce the sampling point number without debasing the numerical precision of the model geometry data, so as to further reduce data volume of point model. In addition, the mixed rendering of geometric model point and rectangle in this method overcome the shortcoming that point model set is unsuitable for large flat surface.
Authors: Francesca Lanata, Daniele Posenato
Abstract: In recent years, several structures have been equipped with permanent monitoring systems, able to record the response both in terms of displacements and strains over very long periods of time and, theoretically, for the entire life of the structure. Despite of the number of applications, very few studies have been presented focused on the interpretation of the data without the study of a numerical model of the structure. Since an optimal and unique algorithm cannot be proposed depending on the variety of applications, the aim of the work is to propose a multi-algorithm methodology as a tool for detecting and localizing the insurgence of damage or material degradation from the measurements taken during a continuous static monitoring of civil structures. A method based on Principal Component Analysis will be proposed in order to compare the responses and detect the insurgence of anomalous behaviors. The algorithm will be first tested on simulated data deriving from a numerical benchmark with sensors and different damage scenarios, then the proposed methodology will be validated on a real structure. In this second application, due to the great number of installed sensors, the algorithm will be integrated with a preliminary analysis in order to cluster and gather together the sensors with a comparable behavior and a similar sensitivity to damage.
Authors: Ying Liu, Yan Li, Jin Tao Xu
Abstract: To reduce the noise error existing in the output signal of fiber optic gyroscopes (FOGs) and increase the precision of the FOGs, this paper established a mathematical model of the FOGs output signal, analyzed the error characteristics of the FOGs output signal, put forward a new de-noising arithmetic based on the wavelet transform, soft and hard threshold compromise filtering, threshold values were determined by multi-dimensions recursion arithmetic. Through experiment, it has been already validated that the proposed approach had the competitive performances on visual quality, signal to noise ratio (SNR) and the standard variation, it is effective in eliminating the white noises existing in the output signal of the FOG.
Authors: Juggrapong Treetrong
Abstract: This paper proposes a new method of motor fault detection by applying the eliminated-signal as data sources for motor fault analysis. Bi-spectrum is used as a key method for processing the signal. The expectation is that the eliminated-signal may contain information for fault analysis. The spectrum and bi-spectrum of the signal are applied as signal processing methods to analyze the motor faults. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based on experiments, the method can differentiate conditions clearly. They seem also to be able to measure fault severity levels by observing the change in among harmonic amplitudes.
Authors: Paola Antonaci, Pietro G. Bocca, Davide Masera, Nicola Maria Pugno, Marco Scalerandi, Fabrizio Sellone
Abstract: The results of an experimental research on plain concrete are presented. The non-linear behavior of both virgin and damaged samples is investigated by means of ultrasonic tests: recent theoretical models, indeed, have pointed out that mono-frequency ultrasonic excitations bring to light such phenomena as harmonic generation and sidebands production, which are essentially due to the material classical or hysteretic non-linearity. The estimation of the harmonic components parameters (amplitudes and phases) is achieved through a signal processing technique based on MUltiple SIgnal Classification (MUSIC) system, which reveals to be optimal for the specific signal model here considered. The experiments described in this paper show that the material non-linear features increase with increasing level of internal micro-cracking, thus suggesting the possibility to use the ultrasonic signal analysis in the frequency domain as a valuable tool for damage assessment.
Authors: Ye Wu, Shu Yang, Xiao Yan Zhao
Abstract: The basic principle of a new pseudo-Fourier series method is derived in detail in this paper. Simulation experiments show that the algorithm can effectively remove the noise and preserve signal's original energy effectively compared with the filtering results based on adaptive LMS algorithm. In addition, the experiment shows that the filtering speed of like Fourier methods is about 25 times the speed of adaptive LMS algorithm. The four types of ground tides are successfully filtered for picking-up the long-term trend of the tilt observation.
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