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54th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Min, Daham Yoo, Jaeyeong Heo, Jeonghyeok Hur, Kyeon Yonsei Univ Sch Elect & Elect Engn Seoul 120749 South Korea

ISBN: (纸本)9781612848570

Smart Grid is expected to provide a reliable power supply with fewer and briefer outages, cleaner power, and self-healing power systems, through advanced Power Quality (PQ) monitoring, analysis and diagnosis of the PQ measurements and identification of the root causes, and timely automated controls. It is important to understand that signal processing has been an integral part of advancing and expanding the horizons of this PQ research significantly. The capabilities and applications of signal processing for PQ are continually evolving due to the advanced PQ monitoring devices. Thus, this paper is to present a survey on the proven and emerging signal applications for enhancing PQ, focusing on algorithms for estimating system modal parameters because resonant frequencies and their damping information are critical signatures in evaluating the PQ. In particular, we discuss the need for investigating time-varying and nonlinear characteristics of the modal parameters due to dynamic changes in system operating conditions, and introduce promising signal processing techniques for this purpose.

关键词： Equations Monitoring PQ measurements damping damping information fault tolerance nonlinear characteristics power quality monitoring power supply quality power supply reliability power system identification power system measurement power system modal parameter estimation power system reliability resonant frequency self-healing power system signal processing signal processing algorithm smart grid smart power grids time-varying characteristics

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Synchronization in Communications Systems with Scale Time Offset Robust Modulation

Synchronization in Communications Systems with Scale Time Of...

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作者： Windish, John Joseph PennState University Libraries

学位级别：Master of Science

Synchronization in wireless communications is an important problem. Good synchronization is critical to reliable signal detection and estimation. In this thesis, the concept of synchronization is presented as well as several specific examples of wireless synchronization. An overview of the current state of the art in synchronization, including different techniques and implementations, is *** Time Offset Robust Modulation (STORM) is a waveform design technique involving the simultaneous transmission of a base waveform as well as a time-scaled and time- delayed copy of that waveform. For some applications this technique is attractive as a possible candidate to enhance synchronization performance, due to the different tradeoffs of its performance properties. This thesis presents background for the STORM technique. From there, a theoretical analysis of the performance of STORM as a possible timing synchronization mechanism is ***, this thesis performs a number of simulations showing the performance of STORM synchronization and timing under a variety of different channel conditions. The simulation results are compared to the theoretical analysis. Finally, conclusions from these STORM synchronization and timing simulations and the analyses are presented. Based on these conclusions, potential future work to develop STORM as a timing synchronization scheme is presented.

关键词： timing signal processing algorithm maximum likelihood detection correlation synchronization

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Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods

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SENSORS 2010年第5期10卷 4983-4995页

作者： del Toro, Raul M. Haber, Rodolfo E. Schmittdiel, Michael C. Consejo Super Invest Cient Ctr Automat & Robot Madrid 28500 Spain Univ Autonoma Madrid Escuela Politecn Super E-28049 Madrid Spain

This paper presents a computational method for detecting vibrations related to eccentricity in ultra precision rotation devices used for nano-scale manufacturing. The vibration is indirectly measured via a frequency domain analysis of the signal from a piezoelectric sensor attached to the stationary component of the rotating device. The algorithm searches for particular harmonic sequences associated with the eccentricity of the device rotation axis. The detected sequence is quantified and serves as input to a regression model that estimates the eccentricity. A case study presents the application of the computational algorithm during precision manufacturing processes.

关键词： vibration measurement signal processing algorithm frequency domain analysis nanotechnology

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PPG Delineator for Real-Time Ubiquitous Applications

PPG Delineator for Real-Time Ubiquitous Applications

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Farooq, Umar Jang, Dae-Geun Park, Jang-Ho Park, Seung-Hun Kyung Hee Univ Dept Biomed Engn Hlth Lab U Seoul South Korea Korea Adv Inst Sci & Technol Dept Elect Engn Speech & Audio Informat Lab Daejeon South Korea

ISBN: (纸本)9781424441242

This paper presents real-time signal processing algorithm for detection of onsets and peaks in Photoplethysmogram (PPG) waveform. algorithm relies on the analysis of amplitude, slope and inter-beat intervals. The presented algorithm consists of four stages for characterizing PPG waveform. Preprocessing stage involves transformation of PPG since the original waveform is less impulsive and robust. In second stage, algorithm seeks for valid pulse detection in transformed signal complying with the amplitude threshold and inter-beat interval. On detection of valid pulses, algorithm then searches backward and forward in transformed signal for the detection of peaks and onsets. Further the detection parameters are made adaptive to comply with varying beat morphologies and fluctuations in baseline. All signal processing steps and decision logics are implemented with low computational complexity to make it applicable for compact ubiquitous health monitoring devices. On evaluation with our database, the algorithm achieved sensitivity of 96.89% and positive predictivity of 94.55% within an acceptance level of 12 ms.

关键词： PPG delineator amplitude threshold beat morphologies computational complexity computational complexity inter-beat interval medical signal processing photoplethysmogram waveform plethysmography real-time ubiquitous applications signal processing algorithm waveform analysis

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A self-sensing technology of active magnetic bearings using a phase modulation algorithm based on a high frequency voltage injection method

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JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 2008年第9期22卷 1757-1764页

作者： Park, Young Ho Han, Dong Chul Park, In Hwang Ahn, Hyeong Joon Jang, Dong Young Seoul Natl Univ Sch Mech & Aerosp Engn Seoul 151742 South Korea BK21 Sch Creat Engn Design Next Generat Mech & Ae Seoul 151742 South Korea Soongsil Univ Dept Mech Engn Seoul 156743 South Korea Seoul Natl Univ Technol Seoul 139743 South Korea

Conventional AMB(active magnetic bearings) systems consist of electromagnetic coils, position sensors, power amplifiers and a feedback controller. This hardware configuration can lead to a structural complexity, problems of space limitations for the installation, and position control difficulties due to the non-collocation of actuators and sensors. In this paper, a self-sensing mechanism is proposed to resolve Such limitations of the general AMB system. The proposed self-sensing scheme uses a phase difference of the injected current of two opposite electromagnetic actuators while an object is levitating between the actuators. The relationship between the phase difference of injected currents and the position of a levitated object was theoretically derived and linearized. In order to realize the proposed self-sensing scheme, a signal processing algorithm was developed. The frequency response of the estimator was measured to verify, the performance of the proposed self-sensing scheme. In addition, a magnetic levitation and a disturbance rejection response were experimentally obtained to verify the feasibility of the proposed self-sensing mechanism. Experimental results showed that the developed self-sensing technique has similar performance as a practical gap sensor.

关键词： active magnetic bearing self-sensing phase modulation position sensor feedback controller pulse width modulation(PWM) signal processing algorithm position estimator

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An All Fiber White Light Interferometric Absolute Temperature Measurement System

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SENSORS 2008年第11期8卷 6825-6845页

作者： Kim, Jeonggon Harrison Hansei Univ Informat & Commun Engn Dept Gunpo City Kyunggi Do South Korea

Recently the author of this article proposed a new signal processing algorithm for an all fiber white light interferometer. In this article, an all fiber white light interferometric absolute temperature measurement system is presented using the previously proposed signal processing algorithm. Stability and absolute temperature measurement were demonstrated. These two tests demonstrated the feasibility of absolute temperature measurement with an accuracy of 0.015 fringe and 0.0005 fringe, respectively. A hysteresis test from 373K to 873K was also presented. Finally, robustness of the sensor system towards laser diode temperature drift, AFMZI temperature drift and PZT non-linearity was demonstrated.

关键词： All fiber white light interferometry signal processing algorithm absolute temperature measurement

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algorithm for recognizing arousals related to breathing event on the micro-movement sensitive mattress monitoring system

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Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument 2008年第SUPPL.期29卷 367-370页

作者： Cao, Zhengtao Yang, Jun Zhu, Yingying Zhang, Hongjin Yu, Mengsun The Fourth Military Medical University Xi'an 710032 China Institute of Aviation Medicine Air Force Beijing 100036 China School of Control Science and Engineering Shandong University Jinan 250061 China

A new algorithm for recognizing arousals related to breathing event that can be used on the micro-movement sensitive mattress monitoring system was presented. Firstly, the method included pre-processing the heart rate to get rid of the rapid-changing element and the slow-changing element in it. Following, the heart rate was processed using the wavelet analysis to make arousals more obvious. Finally, arousals were detected using the algorithm based on the characteristics of heart rate element that was related those. The contrast between our method and manual method on the polysomnography showed that the former can detect typical arousals and was consistent with the latter in most cases.

关键词： Arousals related to breathing event Non-invasive recognization signal processing algorithm

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Design of a signal processing algorithm for error-minimized optical triangulation displacement sensors

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MEASUREMENT SCIENCE AND TECHNOLOGY 2001年第10期12卷 1683-1688页

作者： Kim, KC Oh, SB Kim, SH Kwak, YK Korea Adv Inst Sci & Technol Dept Engn Mech Yusong Gu Taejon South Korea

Optical triangulation displacement sensors are widely used for their non-contact measurement characteristic, sub-micrometre order resolution, simple structure and long operation range. However. errors originating from surface inclination, speckle effect, light source fluctuation and detector noise restrict the wider use. In order to minimize these errors. a structure for an optical triangulation displacement sensor, which is composed of an incoherent source and a linear CCD (charge coupled device), has been proposed. However. using a linear CCD causes several problems in signal processing. Because CCDs consist of spatially discrete pixels, it is impossible to detect the peak position movement within a pixel. This is an inherently severe problem of CCDs. Therefore, a new approach is needed. In this paper, we propose an adequate signal processing algorithm to overcome the limited resolution problem of a CCD for the proposed sensor structure. The signal processing algorithm is composed of a pre-processing algorithm and a modified cross correlation algorithm. With the help of the proposed algorithm, the limited resolution problem of the CCD can be solved.

关键词： correlation algorithm displacement measurement optical sensor optical triangulation signal processing algorithm linear CCD

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Novel cross-correlation algorithm for reducing noise-related errors in array type optical triangulation displacement sensors

Novel cross-correlation algorithm for reducing noise-related...

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Conference on Testing, Reliability, and Applications of Optoelectronic Devices

作者： Kim, KC Oh, SB Kim, SH Kwak, YK Korea Adv Inst Sci & Technol Dept Mech Engn Yusong Gu Taejon 305701 South Korea

ISBN: (纸本)0819439630

Optical triangulation displacement sensors are widely used for their non-contact measurement characteristics, sub-micron order resolution, simple structure, and long operation range. However, errors originating from surface inclination, speckle effect, light source fluctuation, and detector noise limit the wider use. In order to minimize these errors, the structure for optical triangulation displacement sensors, which is composed of an incoherent source and a linear CCD, has been proposed. But using a linear CCD causes several problems in signal processing. In this paper, we propose an adequate signal processing system for the proposed structure. With the help of the proposed algorithm, the limited resolution problem of CCD can be solved.

关键词： correlation algorithm displacement measurement optical sensor optical triangulation signal processing algorithm linear CCD

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