• 제목/요약/키워드: noise uncertainty

검색결과 276건 처리시간 0.026초

불확실성을 고려한 DC Motor의 견실한 이상검출 (Application of robust fault detection for DC motor considering system uncertainty)

  • 김대우;유호준;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.856-859
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    • 1997
  • In this paper we treat the application of fault detection method in DC motor having both model mismatch and noise problems. A fault detection method presented by Kwon et al. (1994) for SISO systems has been here experimented. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with the real plant, DC motor. The experimental result of robust fault detection method is shown to have good performance via with the alternative fault detection method which do not account noise.

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잡음 전력의 불확실성이 에너지 검파 기반의 스펙트럼 감지에 미치는 영향 (Effects of Noise Power Uncertainty on Energy Detection for Spectrum Sensing)

  • 임창헌
    • 대한전자공학회논문지TC
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    • 제48권11호
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    • pp.22-27
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    • 2011
  • 스펙트럼 감지를 하기 위해 에너지 검파기는 수신 신호의 에너지를 미리 정해둔 임계값과 비교하여 1차 사용자가 면허 대역 내에서 활동을 하는 지 여부를 판단한다. 여기에서 임계값은 해당 주파수 대역에 존재하는 잡음의 전력 수준과 관련이 있다. 에너지 검파에 대한 과거의 연구 대부분은 잡음 전력을 미리 정확하게 알고 있다는 가정에 기초한 것이었다. 그러나 실제 환경에서는 잡음 전력에 대한 불확실성이 존재하기 때문에 이 가정은 현실적으로 유효하지 않다. 그러므로 잡음 전력의 불확실성이 에너지 검파기의 스펙트럼 감지 성능에 미치는 영향을 파악할 필요가 있다. 이에 이 논문에서는 유수 정리(residue theorem)에 기반을 둔 적분을 활용하여 그 영향을 수학적으로 분석하고 그 결과를 제시하고자 한다.

치수 불확실성이 고려된 군용 통신 장비의 신뢰성 기반 최적설계 (The Reliability-based Design Optimization for the Military Communication Equipment considering the Dimension Uncertainty)

  • 박대웅
    • 한국소음진동공학회논문집
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    • 제21권11호
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    • pp.1051-1058
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    • 2011
  • The military communication equipment is required the high reliability for operating adequate functions under severe conditions. This reliability is the essential element for the quality of the product, for the uncontrolled factors, such as the clearance, damage of the material, the reduction of stiffness, which are the designer is unable to handle. In this paper, the uncertainty for the dimension was supposed to the probability model for the military communication equipment, and the average of the objective function was minimized for reducing design uncertainty. The reliability-based design optimization which was implemented the limit state function was formulated into the mathematical model, so the reliable optimized structure was implemented than the base-line design.

측정 불확도에 따른 중량충격음 측정편차에 관한 연구 (Measurement uncertainty in heavy-weight floor impact sounds)

  • 유승엽;김용희;심명희;전진용
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2008년도 춘계학술대회논문집
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    • pp.826-829
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    • 2008
  • In a field measurement, measurement errors are produced by measuring environments and systematic errors in the measurement procedure. Measurement errors can be expressed as a measurement uncertainty. In this study, the measurement uncertainty and various measuring factors are investigated in heavy-weight impact sounds. According to KS 2810-2, the model functions, which is the estimation of the maximum SPL measurement in each octave band frequency, are determined. From this estimation model, 3.53dB is shown in 63Hz. This level is caused by the sound field of the receiving room, which does not meet the diffusing field.

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설계 불확실성이 고려된 군용 통신 장비의 신뢰성 기반 최적설계 (The Reliability-Based Design Optimization for the Military Communication Equipment considering the Design Uncertainty)

  • 박대웅;문우용
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2011년도 추계학술대회 논문집
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    • pp.504-509
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    • 2011
  • The military communication equipment is required the high reliability for operating adequate functions under severe conditions. This reliability is the essential element for the quality of the product, for the uncontrolled factors, such as the clearance, damage of the material, the reduction of stiffness, which are the designer is unable to handle. In this paper, the uncertainty for the design was supposed to the probability model for the military communication equipment, and the average of the objective function was minimized for reducing design uncertainty. The reliability-based design optimization which was implemented the limit state function was formulated into the mathematical model, so the reliable optimized structure was implemented than the base-line design.

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Frequency Domain DTV Pilot Detection Based on the Bussgang Theorem for Cognitive Radio

  • Hwang, Sung Sue;Park, Dong Chan;Kim, Suk Chan
    • ETRI Journal
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    • 제35권4호
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    • pp.644-654
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    • 2013
  • In this paper, a signal detection scheme for cognitive radio (CR) based on the Bussgang theorem is proposed. The proposed scheme calculates the statistical difference between Gaussian noise and the primary user signal by applying the Bussgang theorem to the received signal. Therefore, the proposed scheme overcomes the noise uncertainty and gives scalable complexity according to the zero-memory nonlinear function for a mobile device. We also present the theoretical analysis on the detection threshold and the detection performance in the additive white Gaussian noise channel. The proposed detection scheme is evaluated by computer simulations based on the IEEE 802.22 standard for the wireless regional area network. Our results show that the proposed scheme is robust to the noise uncertainty and works well in a very low signal-to-noise ratio.

Robust Spectrum Sensing for Blind Multiband Detection in Cognitive Radio Systems: A Gerschgorin Likelihood Approach

  • Qing, Haobo;Liu, Yuanan;Xie, Gang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권5호
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    • pp.1131-1145
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    • 2013
  • Energy detection is a widely used method for spectrum sensing in cognitive radios due to its simplicity and accuracy. However, it is severely affected by the noise uncertainty. To solve this problem, a blind multiband spectrum sensing scheme which is robust to noise uncertainty is proposed in this paper. The proposed scheme performs spectrum sensing over the total frequency channels simultaneously rather than a single channel each time. To improve the detection performance, the proposal jointly utilizes the likelihood function combined with Gerschgorin radii of unitary transformed covariance matrix. Unlike the conventional sensing methods, our scheme does not need any prior knowledge of noise power or PU signals, and thus is suitable for blind spectrum sensing. In addition, no subjective decision threshold setting is required in our scheme, making it robust to noise uncertainty. Finally, numerical results based on the probability of detection and false alarm versus SNR or the number of samples are presented to validate the performance of the proposed scheme.