• 제목/요약/키워드: Domain detection

검색결과 897건 처리시간 0.03초

다우비시 웨이브릿 변환의 상세계수 비율을 이용한 교류발전기의 내부고장 검출 및 고장종류 판별 (Internal Fault Detection and Fault Type Discrimination for AC Generator Using Detail Coefficient Ratio of Daubechies Wavelet Transform)

  • 박철원;신광철;신명철
    • 전기학회논문지P
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    • 제58권2호
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    • pp.136-141
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    • 2009
  • An AC generator is an important components in producing a electric power and so it requires highly reliable protection relays to minimize the possibility of demage occurring under fault conditions. Conventionally, a DFT based RDR has been used for protecting the generator stator winding. However, when DFTs based on Fourier analysis are used, it has been pointed out that defects can occur during the process of transforming a time domain signal into a frequency domain one which can lead to loss of time domain information. This paper proposes the internal fault detection and fault type discrimination for the stator winding by applying the detailed coefficients by Daubechies Wavelet Transform to overcome the defects in the DFT process. For the case studies reported in the paper, a model system was established for the simulations utilizing the ATP, and this verified the effectiveness of the proposed technique through various off-line tests carried out on the collected data. The propose method is shown to be able to rapidly identify internal fault and did not operate a miss-operation for all the external fault tested.

잡음 환경에 강인한 기동어 검출을 위한 삼중항 손실 기반 도메인 적대적 훈련 (Triplet loss based domain adversarial training for robust wake-up word detection in noisy environments)

  • 임형준;정명훈;김회린
    • 한국음향학회지
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    • 제39권5호
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    • pp.468-475
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    • 2020
  • 단어의 특성을 잘 표현하는 음성 단어 임베딩은 기동어 인식에서 중요한 역할을 한다. 하지만 기동어 인식이 수행되는 환경에서 필연적으로 발생하는 다양한 종류의 잡음으로 인해 음성 단어 임베딩의 표현 능력이 손상될 수 있으며, 인식 성능의 저하를 초래할 수 있다. 본 논문에서는 음성 단어 임베딩에 영향을 줄 수 있는 환경적인 요인을 완화시키는 삼중항 손실 기반의 도메인 적대적 훈련 방식을 제안한다. 잡음 환경에서의 기동어 검출 실험을 통해 제안하는 방식이 기존의 도메인 적대적 훈련 방식을 효과적으로 개선하는 모습을 확인할 수 있었고, 잡음 환경에서의 기동어 검출을 위해 기존에 제안된 다른 방법과의 결합을 통해 제안하는 방식의 확장성을 확인할 수 있었다.

차륜의 찰상결함 진단을 위한 켑스트럼 분석 방법 연구 (A Study on Cepstrum Analysis for Wheel Flat Detection in Railway Vehicles)

  • 김거영;김현태;구정서
    • 한국안전학회지
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    • 제31권3호
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    • pp.28-33
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    • 2016
  • Since defects in the wheels of railway vehicles, which occur due to wears with the rail, cause serious damage to the running device, the diagnostic monitoring system for condition-based maintenance is required to secure the driving safety. In this paper, we studied to apply a useful Cepstrum analysis to detect periodic structure in spectrum among the vibration signal processing techniques for the fault diagnosis of a rotating body such as wheel. In order to analyze in variations of train velocity, the Cepstrum analysis was performed after a domain change of the vibration signal from time domain to rotation angle domain. When domains change, it is important to use a interpolation for a uniform interval of the rotation angle. Finally, the Cepstrum analysis for wheel flat detection was verified by using the vibration signal including the disturbance resulting from the rail irregularities and the vibration of bogie components.

영역 기반 분산협력 침입탐지 기법에 관한 연구 (A Study on Distributed Cooperation Intrusion Detection Technique based on Region)

  • 양환석;유승재
    • 융합보안논문지
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    • 제14권7호
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    • pp.53-58
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    • 2014
  • MANET은 이동 노드들로만 구성되어 신속하게 네트워크를 구축할 수 있으며, 그 활용 범위가 다양하여 현재까지 많은 인기를 끌고 있다. 하지만 노드들의 잦은 이동으로 인한 동적인 토폴로지와 각 노드들의 제한된 자원 그리고 무선통신이 갖는 보안의 취약성이 MANET이 해결해야 할 큰 문제이다. 본 논문에서는 오버헤드를 줄이면서 정확한 침입탐지를 수행할 수 있는 영역 기반 분산협력 침입탐지 기법을 제안하였다. 제안한 침입탐지 기법에서는 네트워크를 일정한 크기로 분할 한 후 로컬 탐지와 전역 탐지가 수행된다. 로컬 탐지는 노드들의 비정상 행위를 탐지하기 위해 모든 노드에서 수행되고, 전역 탐지는 게이트웨이 노드에서 시그너처 기반 공격 탐지가 이루어지게 된다. 게이트웨이 노드에서 관리되는 시그너처 DB는 이웃 게이트웨이 노드와 허니넷을 구성하여 주기적인 업데이트가 이루어지고, 신뢰 관리 모듈에 의해 영역내의 노드들에 대한 신뢰도를 유지하였다. 제안한 기법의 침입탐지 성능을 확인하기 위하여 다중 계층 클러스터 기법과 비교 실험을 통해 우수한 성능을 확인할 수 있었다.

Joint Space-time Coding and Power Domain Non-orthogonal Multiple Access for Future Wireless System

  • Xu, Jin;Ding, Hanqing;Yu, Zeqi;Zhang, Zhe;Liu, Weihua;Chen, Xueyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권1호
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    • pp.93-113
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    • 2020
  • According to information theory, non-orthogonal transmission can achieve the multiple-user channel capacity with an onion-peeling like successive interference cancellation (SIC) based detection followed by a capacity approaching channel code. However, in multiple antenna system, due to the unideal characteristic of the SIC detector, the residual interference propagated to the next detection stage will significantly degrade the detection performance of spatial data layers. To overcome this problem, we proposed a modified power-domain non-orthogonal multiple access (P-NOMA) scheme joint designed with space-time coding for multiple input multiple output (MIMO) NOMA system. First, with proper power allocation for each user, inter-user signals can be separated from each other for NOMA detection. Second, a well-designed quasi-orthogonal space-time block code (QO-STBC) was employed to facilitate the SIC-based MIMO detection of spatial data layers within each user. Last, we proposed an optimization algorithm to assign channel coding rates to balance the bit error rate (BER) performance of those spatial data layers for each user. Link-level performance simulation results demonstrate that the proposed time-space-power domain joint transmission scheme performs better than the traditional P-NOMA scheme. Furthermore, the proposed algorithm is of low complexity and easy to implement.

하나의 경로를 가진 항공기 탑재형 Bistatic Spotlight SAR 영상형성을 위한 Range Migration Algorithm의 확장 (Extension of Range Migration Algorithm for Airborne Single Track Bistatic Spotlight SAR Imaging)

  • 신희섭;전재한;임종태
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.165-166
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    • 2008
  • Bistatic spotlight synthetic aperture radar(BSSAR) with single track configuration uses the transmitter and the receiver which travel along the single track such as the leader-follower. For the BSSAR imaging, we modify the range migration algorithm. In time domain, we make the monostatic SAR using shifting of path, Then, in frequency domain, we compensate the separated distance between the scene center and the flight path using the principle of the stationary phase (PSP).

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신경회로망을 이용한 공작기계 주축용 베어링의 고장검지 (Detection of Main Spindle Bearing Conditions in Machine Tool via Neural Network Methodolog)

  • Oh, S.Y.;Chung, E.S.;Lim, Y.H.
    • 한국정밀공학회지
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    • 제12권5호
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    • pp.33-39
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    • 1995
  • This paper presents a method of detecting localized defects on tapered roller bearing in main spindle of machine tool system. The statistical parameters in time-domain processing technique have been calculated to extract useful features from bearing vibration signals. These features are used by the input feature of an artificial neural network to detect and diagnose bearing defects. As a results, the detection of bearing defect conditions could be successfully performed by using an artificial neural network with statistical parameters of acceleration signals.

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Generalization of the Testing-Domain Dependent NHPP SRGM and Its Application

  • Park, J.Y.;Hwang, Y.S.;Fujiwara, T.
    • International Journal of Reliability and Applications
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    • 제8권1호
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    • pp.53-66
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    • 2007
  • This paper proposes a new non-homogeneous Poisson process software reliability growth model based on the coverage information. The new model incorporates the coverage information in the fault detection process by assuming that only the faults in the covered constructs are detectable. Since the coverage growth behavior depends on the testing strategy, the fault detection process is first modeled for the general testing strategy and then realized for the uniform testing. Finally the model for the uniform testing is empirically evaluated by applying it to real data sets.

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국방 분야의 인간-차량 인터랙션 연구 (A Survey of Research on Human-Vehicle Interaction in Defense Area)

  • 양지현;이상헌
    • 한국CDE학회논문집
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    • 제18권3호
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    • pp.155-166
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    • 2013
  • We present recent human-vehicle interaction (HVI) research conducted in the area of defense and military application. Research topics discussed in this paper include: training simulation for overland navigation tasks; expertise effects in overland navigation performance and scan patterns; pilot's perception and confidence on an overland navigation task; effects of UAV (Unmanned Aerial Vehicle) supervisory control on F-18 formation flight performance in a simulator environment; autonomy balancing in a manned-unmanned teaming (MUT) swarm attack, enabling visual detection of IED (Improvised Explosive Device) indicators through Perceptual Learning Assessment and Training; usability test on DaViTo (Data Visualization Tool); and modeling peripheral vision for moving target search and detection. Diverse and leading HVI study in the defense domain suggests future research direction in other HVI emerging areas such as automotive industry and aviation domain.

Sensing of OFDM Signals in Cognitive Radio Systems with Time Domain Cross-Correlation

  • Xu, Weiyang
    • ETRI Journal
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    • 제36권4호
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    • pp.545-553
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    • 2014
  • This paper proposes an algorithm to sense orthogonal frequency-division multiplexing (OFDM) signals in cognitive radio (CR) systems. The basic idea behind this study is when a primary user is occupying a wireless channel, the covariance matrix is non-diagonal because of the time domain cross-correlation of the cyclic prefix (CP). In light of this property, a new decision metric that measures the power of the data found on two minor diagonals in the covariance matrix related to the CP is introduced. The impact of synchronization errors on the signal detection is analyzed. Besides this, a likelihood-ratio test is proposed according to the Neyman-Pearson criterion after deriving probability distribution functions of the decision metric under hypotheses of signal presence and absence. A threshold, subject to the requirement of probability of false alarm, is derived; also the probabilities of detection and false alarm are computed accordingly. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.