• 제목/요약/키워드: Signal Eccentricity

검색결과 32건 처리시간 0.029초

열간 압연기의 롤 편심 제어기에 관한 연구 (A study on roll eccentricity controller of hot rolling mill)

  • 지창운
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.1480-1483
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    • 1996
  • A set of approaches suggested to control the eccentricity is discussed in this paper. Among these, filter-integrator method is used to design the controller, which also includes the input signal synchronization, stabilizing filter and eccentricity source discrimination. Using the S/W that is coded for real time application of that controller, we simulated the operations of that one. The simulation results show the characteristics of eccentricity compensation and eccentricity discrimination. However, from these results, we can see that only proper stabilization strategy certificates the safe eccentricity control.

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CNC선반에서 주축변위센서를 이용한 가공편심오차의 검출에 관한 연구 (A Study on Detection of Runout Eccentric Error Using CCS Sensor at CNC Lathe)

  • 양재생;맹희영
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 추계학술대회 논문집
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    • pp.468-473
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    • 2002
  • This paper presents the methodology for measuring eccentricity of the cylindricaliy machined part using CCS(Cylindrical Capacity Spindle Sensor) signal in the CNC turning process. In order to investigate the relationships between CCS orbits and eccentricities, the initial conditions for various eccentricity state and machining process is applied to the experimental strategy. AS a result, it is considered the linearities of CCS signal and magnitude of eccentricity of machined cylindrical surfaces based on the possibility as a automatic detection apparatus for the CNC lathe.

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CNC선삭시 주축변위센서를 이용한 편심 가공오차와 절삭력 변화특성의 검출 (Monitoring of Eccentric Machining Error and Cutting Force Variation using Cylindrical Capacity Spindle Sensor on CNC Turning)

  • 맹희영;김성동
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2005년도 춘계학술대회 논문집
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    • pp.300-306
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    • 2005
  • This paper presents the methodology for measuring eccentricity of the machined cylindrical part using CCS(cylindrical capacitance spindle sensor) signal in the CNC turning process. We use capacitance type sensor to take full advantage of averaging effect by using large capacitance area to encompass the whole side of a sensor. The intentionally proposed initial eccentricity is applied to the experimental testpieces, and their resultant relationships between CCS orbits and eccentricities are investigated. As a result, the possibility as a automatic detection apparatus for the CNC lathe is considered based on the linearities of CCS signal and magnitude of eccentricity of machined cylindrical surfaces.

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디지털 필터를 이용한 단일 스탠드 압연기의 편심 진단 알고리즘 (An Algorithm of Diagnosing Eccentricity in Single Stand Rolling Mill)

  • 전재영;김현승;이해영
    • 조명전기설비학회논문지
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    • 제15권1호
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    • pp.59-69
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    • 2001
  • 본 논문에서는 압연공정에서 편심을 검출하고 편심의 원인을 진단할 수 있는 알고리즘을 제안한다. 설계된 기법은 대부분의 압연공정에 이미 설치되어 있는 로드셀과 타코메타의 출력 신호만을 사용하며, 추가적인 센서를 필요로 하지 않는다. 편심 신호의 검출은 중심주파수가 회전속도에 따라 변화하는 6개의 디지털 대역 통과 필터의 출력을 조합하여 이루어진다. 추출된 편심 관련 데이터로부터 편심의 원인을 진단하는 기능은 적절한 변수를 정의하여 구현되었다. 모의 실험은 세 가지 경우에 대해 행해졌는데, 롤의 일부분이 마모된 경우, 회전축이 롤의 중심과 일치하지 않는 경우 및 두 가지 원인이 복합된 경우 등이다. 모의 실험 결과는 제안된 알고리즘에 의해 모든 경우에 편심의 진단이 가능함을 보여준다.

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항공기 표적의 HRRP-JEM 영상에서 복소 신호의 이심률을 이용한 제트 엔진 위치 추정 (Localization of Jet Engine Position from HRRP-JEM Images of Aircraft Targets Using Eccentricity of Complex-Valued Signals)

  • 박지훈;양우용;배준우;강성철;명로훈
    • 한국전자파학회논문지
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    • 제24권12호
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    • pp.1173-1180
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    • 2013
  • 2005년에 처음 소개된 HRRP-JEM(High Resolution Range Profile-Jet Engine Modulation) 영상은 항공기 표적에 탑재된 제트 엔진의 장착 위치를 추정함으로써 레이더 표적 인식을 수행한다. 본 논문에서는 복소 신호의 이심률을 기반으로 HRRP-JEM 영상에서 제트 엔진 위치를 추정하기 위한 새로운 접근법을 제시한다. 복소 신호의 이심률은 HRRP-JEM 영상을 구성하는 어떤 거리 성분(range bin)에서의 레이더 수신 신호에 미치는 JEM 성분의 기여도를 효과적으로 산출할 수 있다. 따라서 JEM 성분의 기여도가 가장 큰 거리 성분이 제트 엔진의 위치에 해당하며, 이를 짚어냄으로써 보다 정량적이고 신뢰성 있는 제트 엔진 위치 추정이 가능할 것으로 기대된다. 사실적인 항공기 모델의 시뮬레이션 결과를 통해 본 논문에서 제안한 개념의 유효성을 입증하였다.

Fault detection and classification of permanent magnet synchronous machine using signal injection

  • Kim, Inhwan;Lee, Younghun;Oh, Jaewook;Kim, Namsu
    • Smart Structures and Systems
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    • 제29권6호
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    • pp.785-790
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    • 2022
  • Condition monitoring of permanent magnet synchronous motors (PMSMs) and detecting faults such as eccentricity and demagnetization are essential for ensuring system reliability. Motor current signal analysis is the most commonly used precursor for detecting faults in the PMSM drive system. However, the current signature responds sensitively to the load and temperature of the motor, thereby making it difficult to monitor faults in real- applications. Therefore, in this study, a condition monitoring methodology that detects motor faults, including their classification with standstill conditions, is proposed. The objective is to detect and classify faults of PMSMs by using programmable inverter without additional sensors and systems for detection. Both DC and AC were applied through the d-axis of a three-phase motor, and the change in incremental inductance was investigated to detect and classify faults. Simulation with finite element analysis and experiments were performed on PMSMs in healthy conditions as well as with eccentricity and demagnetization faults. Based on the results obtained from experiments, the proposed method was confirmed to detect and classify types of faults, including their severity.

A Search for Exoplanets around Northern Circumpolar Stars. IX. A Multi-Period Analysis of the M Giant HD 135438

  • Byeong-Cheol Lee;Jae-Rim Koo;Yeon-Ho Choi;Tae-Yang Bang;Beomdu Lim;Myeong-Gu Park;Gwanghui Jeong
    • 천문학회지
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    • 제56권2호
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    • pp.277-286
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    • 2023
  • It is difficult to distinguish the pure signal produced by an orbiting planetary companion around giant stars from other possible sources, such as stellar spots, pulsations, or certain activities. Since 2003, we have obtained radial (RV) data from evolved stars using the high-resolution, fiber-fed Bohyunsan Observatory Echelle Spectrograph (BOES) at the Bohyunsan Optical Astronomy Observatory (BOAO). Here, we report the results of RV variations in the binary star HD 135438. We found two significant periods: 494.98 d with eccentricity of 0.23 and 8494.1 d with eccentricity of 0.83. Considering orbital stability, it is impossible to have two companions in such close orbits with high eccentricity. To determine the nature of the changes in the RV variability, we analyzed indicators of stellar spot and stellar chromospheric activity to find that there are no signals related to the significant period of 494.98 d. However, we calculated the upper limits of rotation period of the rotational velocity and found this to be 478-536 d. One possible interpretation is that this may be closely related to the rotational modulation of an orbital inclination at 67-90 degrees. The other signal corresponding to the period of 8494.1 d is probably associated with a stellar companion orbiting the giant star. A Markov Chain Monte Carlo (MCMC) simulation considering a single companion indicates that HD 135438 system hosts a stellar companion with 0.57+0.017 -0.017 M with an orbital period of 8498 d.

장력신호의 주파수 해석을 이용한 롤 형상 이상 진단에 관한 연구 (A Study on the Fault Diagnosis of Roller-Shape Using Frequency-Domain Analysis of Tension Signals)

  • 신기현
    • 한국정밀공학회지
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    • 제17권12호
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    • pp.107-114
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    • 2000
  • Rollers and rolls in the continuous process systems are noes of key components that determine the quality of web products. The condition of rollers and rolls(ex. eccentricity wear) should be consistently monitored in order to maintain the process conditions (ex. tension, edge position) within a required specification. In this paper, a new diagnosis technique is suggested to detect the defect of rollers/rolls (ex. eccentricity, wear) based on frequency domain analysis of web tension signal. The kernel of this technique is to use the spectrum amplitude of tension signal which allows to identify the fault rollers/rolls and to also diagnose the degree of fault in corresponding rollers and rolls. The experimental results proved that the suggested diagnosis technique can be successfully used to identify the defect rollers and rolls as well as to diagnose the degree of the defect of those rollers. The suggested technique can be applied to monitor and diagnose the shape of rollers and rolls in various multi-span web transport systems.

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Orbital stability study and transit-timing variations of the extrasolar planetary system: K2-3

  • Choi, Beom-Kyu;Hinse, Tobias C.;Yoon, Tae Seog
    • 천문학회보
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    • 제41권1호
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    • pp.79.1-79.1
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    • 2016
  • We investigated the dynamical properties of the K2-3 multi-planet system. Recently three transiting planets are discovered using the extended Kepler2 (K2) mission (Crossfield et al. 2015). We extended their preliminary stability study by considering a substantial longer integration time. Since planet mass is not known from photometry we calculated exoplanets masses using empirical mass-radius relations (Weiss & Marcy 2014). Forward numerical integration was done using the MERCURY integration package (Chambers 1999). Our results demonstrate that this system is stable over a time scale of $10^8years$. Furthermore, we investigated the dynamical effects of a hypothetical planet in the semi-major axis vs eccentricity space. For stable orbits of the hypothetical planet we calculated transit-timing variation (TTV) and radial velocity signals. We find that for a hypothetical perturber with mass 1-13 Mjup, semi-major axis 0.2 - 0.8 AU and eccentricity 0.00-0.47 the following timing signals for the planet K2-3 b is ~ 5 sec, K2-3 c is ~ 130 sec and for K2-3 d is ~ 190 sec. The radial velocity signal of the hypothetical planet is ~ 4 m/s. Using typical transit-timing errors from the K2 mission, we find that the above hypothetical planet would not be detectable. Its radial velocity signal, however, would be detectable using the APF 2.4m telescope or HARPS at the ESO/La Silla Observatory in Chile.

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AE 원신호 파형분석에 의한 에어컨 컴프레서의 상태 진단 (Condition Diagnosis of Air-conditioner Compressor by Waveform Analysis of AE Raw Signal)

  • 이감규;강익수;강명창;김정석
    • 한국정밀공학회지
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    • 제21권11호
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    • pp.125-129
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    • 2004
  • For the diagnosis of compressor abnormal condition in air-conditioner, AE signal which is derived from wear condition, compressed air and assembly error is analyzed experimentally. The burst and continuous type AE signal occurred by metal contact and compressed air and AE raw signal of compressors were directly acquired in production line. After extracting samples according to waveforms, Early Life Test(ELT) is conducted and classified to normal and abnormal waveform. The efficient parameters of waveform pattern are investigated in time and frequency domain and the diagnosis algorithm of air-conditioner by Neural Network estimation is suggested.