• Title/Summary/Keyword: RMS신호

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Impact Damage Detection in a Composite Stiffened Panel Using Built-in Piezoelectric Active Sensor Arrays (배열 압전 능동 센서를 이용한 복합재 보강판의 충격 손상 탐지)

  • Park, Chan-Yik;Cho, Chang-Min
    • Composites Research
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    • v.20 no.6
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    • pp.21-27
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    • 2007
  • Low-velocity impact damage in a composite stiffened panel was detected using built-in piezoelectric active sensor arrays. Using these piezoelectric active sensors, various diagnostic signals were generated to propagate Lamb waves through the structure and the responses were picked up to detect changes in the structure's vibration signature due to the damage. Three algorithms - ADI(Active Damage Interrogation), TD RMS (Time Domain Root Mean Square) and STFT (Short Time Fourier Transform) - were examined to express the features of the signal changes as one damage index. From damage detecting tests, two impact induced delaminations were detected and the location was estimated with the algorithms and diagnostic signals.

Comparison of Tropospheric Signal Delay Models for GNSS Error Simulation (GNSS 시뮬레이터 오차생성을 위한 대류층 신호지연량 산출 모델 비교)

  • Kim, Hye-In;Ha, Ji-Hyun;Park, Kwan-Dong;Lee, Sang-Uk;Kim, Jae-Hoon
    • Journal of Astronomy and Space Sciences
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    • v.26 no.2
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    • pp.211-220
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    • 2009
  • As one of the GNSS error simulation case studies, we computed tropospheric signal delays based on three well-known models (Hopfield, Modified Hopfield and Saastamoinen) and a simple model. In the computation, default meteorological values were used. The result was compared with the GIPSY result, which we assumed as truth. The RMS of a simple model with Marini mapping function was the largest, 31.0 cm. For the other models, the average RMS is 5.2 cm. In addition, to quantify the influence of the accuracy of meteorological information on the signal delay, we did sensitivity analysis of pressure and temperature. As a result, all models used this study were not very sensitive to pressure variations. Also all models, except for the modified Hopfield model, were not sensitive to temperature variations.

Comparison of the Surface Electromyographic Signal of Progressive Resistance Increase and Progressive Resistance Decrease Exercise (점진적 저항증가와 점진적 저항감소 운동에서의 표면 근전도 신호 비교)

  • Han, Kyoung-Ju;Choi, Bo-Kyung
    • The Journal of Korean Physical Therapy
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    • v.20 no.1
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    • pp.11-16
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    • 2008
  • Purpose: This study was undertaken to compare the signal characteristics of surface electromyography (EMG) between progressive resistive increase exercise (PRIE) and progressive resistive decrease exercise (PRDE). Methods: Forty healthy male subjects were randomly assigned to either the PRIE group or the PRDE group. Subjects participated in the PRIE and PRDE methods, with 10 RM for each subject. EMG activity was recorded from the rectus femoris muscle. Outcome data were collected for both groups pre-exercise, immediately post-exercise, then at 5 and 10 minutes post-exercise. Repeated measures 2-way ANOVA was used to determine the statistical difference of the root mean square (RMS) in EMG activity. Results: We showed that RMS values, when compared with pre-exercise, were decreased immediately after exercise and were increased at 5 and 10 minutes after exercise (p<0.05). The RMS values were not significantly different between the two groups (p>0.05). Conclusion: These results can indicate that both the PRIE and PRDE protocols will be improve strength with equivalent efficacy. Further studies are needed to address exercise duration, frequency of exercise sessions, and rest times than the PRIE and PRDE protocols with regard to the changes in strength improvement without a large amount of muscle fatigue.

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Prognostic Technique for Ball Bearing Damage (볼 베어링 손상 예측진단 방법)

  • Lee, Do Hwan;Kim, Yang Seok
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.37 no.11
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    • pp.1315-1321
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    • 2013
  • This study presents a prognostic technique for the damage state of a ball bearing. A stochastic bearing fatigue defect-propagation model is applied to estimate the damage progression rate. The damage state and the time to failure are computed by using RMS data from noisy acceleration signals. The parameters of the stochastic defect-propagation model are identified by conducting a series of run-to-failure tests for ball bearings. A regularized particle filter is applied to predict the damage progression rate and update the degradation state based on the acceleration RMS data. The future damage state is predicted based on the most recently measured data and the previously predicted damage state. The developed method was validated by comparing the prognostic results and the test data.

Co-Fe-B 자왜변환기를 이용한 간섭계형 광섬유 자계센서의 동작특성

  • 이경식
    • Korean Journal of Optics and Photonics
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    • v.4 no.4
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    • pp.474-479
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    • 1993
  • An interferometric fiber-optic magnetic field sensor is constructed by bonding a Co-Fe-B metallic glass transducer developed here by the melt-spun method to a single mode fiber arm in the fiber Mach-Zehnder interferometer and is tested. The bias field for the peak ac-sensitivity was observed near 0.97 Oe and the minimum detectable magnetic field was 3.9${\times}10^{-5}$ Oe(rms)/${\sqrt{Hz}}$ a 3 kHz. The output of the ac field sensor becomes saturated near the input signal level of 1 Oe(rms). The Co- Fe-B transducer exhibits peak response near 500 Hz.

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Monitoring of Tool Wear Condition by Cutting Resistance and AE Signal in Drilling ADI Material. (ADI재의 드릴가공시 절삭저항 및 AE신호에 의한 공구마멸상해의 검출)

  • 유경곤;전태옥;박홍식
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.11
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    • pp.32-38
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    • 1998
  • For the purpose of monitoring the abnormal state in proportion to cutting in automatic production process, the 3 kinds of specimens different from mechanical properties by austempering through temperature variation were manufactured, and the effects of tool wear on thrust and AE RMS was analyzed with sequential drilling in in-process. When the ADI specimens were drilled, the relationship of thrust and AE RMS with flank wear was studied through experiments, and it is confirmed that the reliable wear state is able to be monitored by using these signals. It was shown that thrust and AE RMS increased slowly till flank wear reached to V$_{B}$ = 0.25mm, and they increased steeply over the value. The effective tool exchange time was able to be pre-estimated by using this fact. It was validated that the tool breakage was able to be detected on the real time by monitoring in in-process.s.

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Development of the RAS-RMS Protocol optimized to PSTN environment and Implementation of its differentiated process (PSTN 환경에 최적화된 RAS-RMS 연동 프로토콜 개발 및 차별화된 처리과정 구축)

  • Chang, Sung-Keun;Lee, Jung-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.12
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    • pp.8357-8362
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    • 2015
  • The emergency call device has been installed and operated for the elevator passenger safety, but the call can not be connected or delay to the operator in an emergency. The application of the Internet of Things(IoT) technology is required for the systematic management and reliability of the emergency call device installed in the elevator. To meet these requirements it is necessary to apply the RMS(Remote Management System). Emergency call device periodically reports the operating status information and the emergency call history information of the emergency call device to the RMS in the PSTN(Public Switched Telephone Network) environment, and transmits the call request information in an emergency. RAS(Remote Access Server) plays a role of converting the PSTN signals to TCP / IP. RMS reports a significant outbreak call and abnormal operating conditions to administrators. In this study, we developed optimized protocol to PSTN environment that is required by RMS and implemented its differentiated process. And a RAS-RMS Protocol was added to the Application Layer. Development protocol consisting of simple structure as compared to CoAP, MQTT or HTTP can work properly in low-spec CPU and transmit elevator emergency key information easily.

A Study on Correlationship between the Induced Plasma and Emission Signals for In-process Monitoring in Stainless Steel Welding of Fiber Laser (II) - Properties Changes of the Measured Signals in a Thick Plate Welding - (파이버 레이저의 스테인리스강 용접시 인프로세스 모니터링을 위한 유기 플라즈마와 방사신호간의 상관성 연구(II) - 후판 용접시 측정신호의 특성 변화 -)

  • Lee, Chang-Je;Kim, Jong-Do
    • Journal of Welding and Joining
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    • v.32 no.6
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    • pp.70-74
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    • 2014
  • On this study, we researched the in-process monitoring during fiber laser welding as well as on the first paper. On the previous/formal study, we analyzed the change of emission signal on thin plate welding. On this study, however, we analyzed RMS and FFT with emission signals in laser welding on lap joint and butt joint of 8mm-thick 316L stainless steel. As the result, the movement of specific frequency peak was observed according to welding speed changes. Furthermore, frequency peak as a result of FFT on the thick plate welding are much clearer than on the thin plate welding. Therefore, it is expected that the welding parameter changes can be predicted in case of applying FFT to in-process monitoring.

Performance Evaluation of ECG Compression Algorithms using Classification of Signals based PQSRT Wave Features (PQRST파 특징 기반 신호의 분류를 이용한 심전도 압축 알고리즘 성능 평가)

  • Koo, Jung-Joo;Choi, Goang-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4C
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    • pp.313-320
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    • 2012
  • An ECG(Electrocardiogram) compression can increase the processing speed of system as well as reduce amount of signal transmission and data storage of long-term records. Whereas conventional performance evaluations of loss or lossless compression algorithms measure PRD(Percent RMS Difference) and CR(Compression Ratio) in the viewpoint of engineers, this paper focused on the performance evaluations of compression algorithms in the viewpoint of diagnostician who diagnosis ECG. Generally, for not effecting the diagnosis in the ECG compression, the position, length, amplitude and waveform of the restored signal of PQRST wave should not be damaged. AZTEC, a typical ECG compression algorithm, is validated its effectiveness in conventional performance evaluation. In this paper, we propose novel performance evaluation of AZTEC in the viewpoint of diagnostician.