• 한국철도학회논문집
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• 제2권2호
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• pp.13-20
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• 1999

The vibration signals of driving parts of electric train are distorted its signal patterns due to the impact components, which occurs when wheel passes rail joints. An elimination method of the impact components is investigated using adaptive signal processing technique in this study The result shows that adaptive interference canceling method seems to be more effective than line enhancement technique. The application of adaptive interference canceling method to the signal measured at bogie shows that the extractions of the signals of driving parts of traction motor, reduction gear, and axle bearing are successful. Therefore, only the signals of bogie, which is the place to attach an accelerometer easily, is sufficient for the fault diagnosis and the safety evaluation of electric train. Also, adaptive interference canceling method can be applicable to evaluate the performance of vibration isolation between bogie and car body and to investigate the characteristics of indoor sound.

• 한국철도학회:학술대회논문집
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• 한국철도학회 1999년도 춘계학술대회 논문집
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• pp.143-150
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• 1999

The vibration signals of driving parts of electric train are distorted its signal patterns due to the impact components, which occurs when wheel passes rail joints. An elimination method of the impact components is investigated using adaptive signal processing technique in this study. The result shows that adaptive interference canceling method seems to be more effective than line enhancement technique. The application of adaptive interference canceling method to the signal measured at bogie shows that the extractions of the signals of driving parts of traction motor, reduction gear, and axle bearing are successful. Therefore, only the signals of bogie, which is the place to attach an accelerometer easily, is sufficient for the fault diagnosis and the safety evaluation of electric train. Also, adaptive interference canceling method can be applicable to evaluate the performance of vibration isolation between bogie and car body and to investigate the characteristics of indoor sound.

• 대한기계학회논문집A
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• 제24권7호
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• pp.1731-1739
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• 2000

The Vibration signals of a gear driving system is often associated with gear tooth faults. Many studies have been done on the detection of impulsive vibration signals, which characterize the breaka ge of a gear tooth. Also, most of the studies on gear fault diagnosis are only about the fault existence at one gear-pair. This study concerns on the several possible faults of a geared motor that has three gear pairs. The measurement and analysis on the vibration signals of a running geared motor shows the relationship between the gear faults and the vibration signals. This study also shows that adaptive interference canceling technique can be appropriately applicable to detect which gear-pair has the fault, and that wavelet is better than spectrogram to figure out the gear fault.

• 한국음향학회지
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• 제28권6호
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• pp.520-525
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• 2009

적응 빔형성기에 대한 기존의 연구들은 간섭신호가 비교적 정상상태인 것을 가정하여 시간-평균을 취하거나 비교적 간단한 최소자승법 (Least Mean Squares)등을 이용하여 구현하고 있으나, 비정상 (Non-stationary) 상태의 간섭잡음의 제거 성능은 상대적으로 떨어진다. 따라서 본 논문에서는, 이러한 비정상 간섭 신호의 제거를 위해 MAFF-RLS 알고리즘을 도출하고, 이를 수정, 적용한 광대역 GSC의 구조를 제안하였다. 그리고 이를 시뮬레이션을 통하여 검증한 결과, 기존의 SMI, RLS 방법을 이용한 빔형성기보다 성능이 우수함을 확인하였다.

• 한국통신학회논문지
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• 제36권2A호
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• pp.91-99
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• 2011

이동 통신 시스템에서 음영 지역의 셀 커버리지를 확보하기 위하여 다양한 종류의 중계기가 사용되고 있다. 그러나 일반적인 무선 중계기는 송 수신 안테나 간의 궤환신호로 인한 발진 문제 때문에 고출력 옥외 중계기로 상용하기 어렵다. 궤환 간섭제거 중계기는 디지털 적응필터를 이용하여 송 수신 안테나 간의 궤환신호를 제거하여 발진을 방지한다. 본 논문에서는 dual NLMS(Normalized Least Mean Square) 알고리듬을 제안하며, 궤환 채널의 도플러 주파수 추정을 통하여 적응필터의 스텝 사이즈를 결정한다. 시불변 채널 및 다중 경로 페이딩 채널 환경에서 제안하는 알고리듬의 성능을 분석하고 모의 실험을 통하여 검증한다.

• 대한전자공학회논문지TC
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• 제44권7호통권361호
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• pp.35-40
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• 2007

최근 이동통신 서비스가 광범위하게 사용되고 서비스 영역의 용이한 확대로 인하여 무선중계기에 대한 수요가 급격히 증가하고 있다. 그러나 무선중계기에는 중계된 전송 신호의 일부가 궤환되어 다시 수신안테나에 수신되는 궤환 간섭 신호가 발생한다. 궤환 간섭 신호의 제거에 이용하는 LMS (Least Mean Square) 알고리즘은 연산량이 적어 실시간으로 적용할 수 있지만, 필터 계수를 갱신에 일정한 스텝 사이즈(step size)를 사용하여 시변 채널과 같은 상황에서 성능이 저하된다. 이런 문제를 해결하기 위하여 본 논문에서는 궤환 간섭 제거기의 참조 입력 (reference input)과 에러 신호 사이에서 상관도를 구하여, 스텝 사이즈를 조정하는 새로운 가변 스텝 사이즈 LMS 알고리즘을 제안한다. 제안된 알고리즘을 WCDMA 무선 중계기에서 궤환 간섭 신호를 제거하는 필터에 적용하여 모의실험을 하였고, 기존의 간섭 제거 알고리즘과 비교하여 성능이 우수함을 확인할 수 있었다.

• Progress in Superconductivity
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• 제4권1호
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• pp.53-58
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• 2002

Noise from electronic instrumentation is invariably present in biomedical signals, although the art of instrumentation design is such that this noise source may be negligible. And sometimes signals of interest are contaminated or degraded by signals of similar type from another source. Biomedical signals are omni-presently contaminated by these background noises that span nearly all frequency bandwidths. In the magneto-cardiogram (MCG), several digital filters have been designed for the elimination of the power-line interference, broadband white noise, surrounding magnetic noise, and baseline wondering. In addition to the introduced FIR filter, notch, adaptive filter using the least mean square (LMS) algorithm, and recurrent neural network (RNN) filter, a new filtering method for effective noise canceling in MCG signals is proposed in this paper, which is realized by the wavelet packets. The experimental results show that the proposed filter using wavelet packet performs efficiently with respect to noise rejection. To verify this, two characteristics were analyzed and compared with LMS adaptive filter, SNR of filtered signal and attractor pattern using the nonlinear dynamics.