• Title/Summary/Keyword: Short Faults

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Design of Enhanced IEEE 1500 Wrapper Cell and Interface Logic For Transition Delay Fault Test (천이 지연 고장 테스트를 위한 개선된 IEEE 1500 래퍼 셀 및 인터페이스 회로 설계)

  • Kim, Ki-Tae;Yi, Hyun-Bean;Kim, Jin-Kyu;Park, Sung-Ju
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.44 no.11
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    • pp.109-118
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    • 2007
  • As the integration density and the operating speed of System on Chips (SoCs) become increasingly high, it is crucial to test delay defects on the SoCs. This paper introduces an enhanced IEEE 1500 wrapper cell architecture and IEEE 1149.1 TAP controller for the wrapper interface logic, and proposes a transition delay fault test method. The method proposed can detect slow-to-rise and slow-to-fall faults sequentially with low area overhead and short test time. and simultaneously test IEEE 1500 wrapped cores operating at different core clocks.

Deep learning-based recovery method for missing structural temperature data using LSTM network

  • Liu, Hao;Ding, You-Liang;Zhao, Han-Wei;Wang, Man-Ya;Geng, Fang-Fang
    • Structural Monitoring and Maintenance
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    • v.7 no.2
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    • pp.109-124
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    • 2020
  • Benefiting from the massive monitoring data collected by the Structural health monitoring (SHM) system, scholars can grasp the complex environmental effects and structural state during structure operation. However, the monitoring data is often missing due to sensor faults and other reasons. It is necessary to study the recovery method of missing monitoring data. Taking the structural temperature monitoring data of Nanjing Dashengguan Yangtze River Bridge as an example, the long short-term memory (LSTM) network-based recovery method for missing structural temperature data is proposed in this paper. Firstly, the prediction results of temperature data using LSTM network, support vector machine (SVM), and wavelet neural network (WNN) are compared to verify the accuracy advantage of LSTM network in predicting time series data (such as structural temperature). Secondly, the application of LSTM network in the recovery of missing structural temperature data is discussed in detail. The results show that: the LSTM network can effectively recover the missing structural temperature data; incorporating more intact sensor data as input will further improve the recovery effect of missing data; selecting the sensor data which has a higher correlation coefficient with the data we want to recover as the input can achieve higher accuracy.

Analysis on Electric Shock Current in DC Electricity (직류환경에서 인체에 흐르는 감전전류 분석)

  • Lee, Jin-Sung;Kim, Hyosung
    • The Transactions of the Korean Institute of Power Electronics
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    • v.21 no.3
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    • pp.254-259
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    • 2016
  • Recently, DC distribution systems have become a hot issue because of the increase in digital loads and DC generation systems according to the expansion of renewable energy technologies. To obtain the practical usage of DC electricity, safety should be guaranteed. The main concerns for safety are twofold: one side is human protection against electric shocks, and the other is facility protection from short faults. "Effects of current on human beings and livestock" (IEC 60479) defines a human body impedance model in electric shock conditions that consists of resistive components and capacitive components. Although the human body impedance model properly works in AC electricity, it does not well match with the electric shock behavior in DC electricity. In this study, the contradiction of the human body impedance model defined by IEC 60479 in case of DC electricity is shown through experiments for the human body. From the analysis of experimental results, a novel unified human body impedance model in electric shock conditions is proposed. This model consists of resistive components, capacitive components, and an inductance component. The proposed human impedance model matches well for AC and DC electricity environments in simulation and experiment.

Detection and Location of Cable Fault Using Improved SSTDR (개선된 SSTDR을 이용한 케이블 고장 검출과 위치 계산)

  • Jeon, Jeong-Chay;Kim, Jae-Jin;Choi, Myeong-Il
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.9
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    • pp.1583-1589
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    • 2016
  • This paper proposes an improved spread spectrum time domain reflectometry (ISSTDR) using time-frequency correlation and reference signal elimination method in order to have more accurate fault determination and location detection than conventional (SSTDR) despite increased signal attenuation due to the long distance to cable fault location. The proposed method has a two-step process: the first step is to detect a peak location of the reference signal using time-frequency correlation analysis, and the second step is to detect a peak location of the correlation coefficient of the reflected signal by removing the reference signal. The proposed method was validated through comparison with existing SSTDR methods in open-and short-circuit fault detection experiments of low voltage power cables. The experimental results showed that the proposed method can detect correlation coefficients at fault locations accurately despite reflected signal attenuation so that cable faults can be detected more accurately and clearly in comparison to existing methods.

Main challenges for deep subsea tunnels based on norwegian experience

  • Nilsen, Bjorn
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.17 no.5
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    • pp.563-573
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    • 2015
  • For hard rock subsea tunnels the most challenging rock mass conditions are in most cases represented by major faults/weakness zones. Poor stability weakness zones with large water inflow can be particularly problematic. At the pre-construction investigation stage, geological and engineering geological mapping, refraction seismic investigation and core drilling are the most important methods for identifying potentially adverse rock mass conditions. During excavation, continuous engineering geological mapping and probe drilling ahead of the face are carried out, and for the most recent Norwegian subsea tunnel projects, MWD (Measurement While Drilling) has also been used. During excavation, grouting ahead of the tunnel face is carried out whenever required according to the results from probe drilling. Sealing of water inflow by pre-grouting is particularly important before tunnelling into a section of poor rock mass quality. When excavating through weakness zones, a special methodology is normally applied, including spiling bolts, short blast round lengths and installation of reinforced sprayed concrete arches close to the face. The basic aspects of investigation, support and tunnelling for major weakness zones are discussed in this paper and illustrated by cases representing two very challenging projects which were recently completed (Atlantic Ocean tunnel and T-connection), one which is under construction (Ryfast) and one which is planned to be built in the near future (Rogfast).

Identification of Arcing Fault and Development of An Adaptive Reclosing Technique about Arcing Ground Fault (아크지락사고에 대한 사고 판별 및 적응 재폐로 기법)

  • Kim, H.H.;Choo, S.H.;Chae, M.S.;Park, J.B.;Shin, J.R.
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.354-356
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    • 2006
  • This paper presents a new one-terminal numerical algorithm for fault location estimation and for faults recognition. The proposed algorithm are derived for the case of most frequent single-phase line to ground fault in the time domain. The arc voltage wave shape is modeled numerically on the basis of a great number of arc voltage records obtained by transient recorder. From the calculated arc voltage amplitude it can make a decision whether the fault is permanent of transient. In this paper the algorithm uses a very short data window and enables fast fault detection and classification for real-time transmission line protection. To test the validity of the proposed algorithm the Electro-Magnetic Transient Program(EMTP/ATP) is used.

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Adaptive AutoReclosure Technique for Fault Location Estimation and Fault Recognition about Arcing Ground Fault (아크 지락 사고에 대한 사고거리추정 및 사고판별에 관한 자동 적응자동재폐로 기법)

  • Kim, Hyun-Houng;Lee, Chan-Joo;Chae, Myung-Sen;Park, Jong-Bae;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2005.11b
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    • pp.283-285
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    • 2005
  • This paper presents a new two-terminal numerical algorithm for fault location estimation and for faults recognition using the synchronized phasor in time-domain. The proposed algorithm is also based on the synchronized voltage and current phasor measured from the PMUs(Phasor Measurement Units) installed at both ends of the transmission lines. Also the arc voltage wave shape is modeled numerically on the basis of a great number of arc voltage records obtained by transient recorder. From the calculated arc voltage amplitude it can make a decision whether the fault is permanent or transient. In this paper the algorithm is given and estimated using DFT(Discrete Fourier Transform) and the LES(Least Error Squares Method). The algorithm uses a very short data window and enables fast fault detection and classification for real-time transmission line protection. To test the validity of the proposed algorithm, the Electro-Magnetic Transient Program(EMTP/ATP) and MATLAB is used.

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Lock-In Thermography Based NDT of Parts for the Automotive Industry

  • Bohm, Stefan;Hellmanns, Mark;Backes, Andreas;Dilger, Klaus
    • Journal of Adhesion and Interface
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    • v.7 no.4
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    • pp.10-12
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    • 2006
  • The successful use of adhesively bonded parts depends on the defect-free bond of the components. Therefore it is necessary to detect relevant faults and defects in an early state of the production. A 100% test should be pursued, but especially at complicated structures the detection of defects is not easy. Possible testing methods, which show a high potential for the NDT of adhesively bonded parts, are thermography based NDT methods. At present mainly two different procedures of active thermography are being used: Pulse and Lock-In Thermography. With pulse thermography the examined material is warmed up with a short energy pulse (light, eddy current or ultrasonic pulse) and the heat response is recorded after a certain time. The result is an infrared image which indicates material defects in different depths. This paper presents a variety of images showing the capability of Lock-In Thermography to image subsurface defects. Several examples of adhesives joints qualify the ultrasonic Lock-In-Thermography for the in-process quality control for adhesive bonded components.

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Fault diagnosis using FCM and TAM recall process (FCM과 TAM recall 과정을 이용한 고장진단)

  • 이기상;박태홍;정원석;최낙원
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.233-238
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    • 1993
  • In this paper, two diagnosis algorithms using the simple fuzzy, cognitive map (FCM) that is an useful qualitative model are proposed. The first basic algorithm is considered as a simple transition of Shiozaki's signed directed graph approach to FCM framework. And the second one is an extended version of the basic algorithm. In the extension, three important concepts, modified temporal associative memory (TAM) recall, temporal pattern matching algorithm and hierarchical decomposition are adopted. As the resultant diagnosis scheme takes short computation time, it can be used for on-line fault diagnosis of large scale and complex processes that conventional diagnosis methods cannot be applied. The diagnosis system can be trained by the basic algorithm and generates FCM model for every experienced process fault. In on-line application, the self-generated fault model FCM generates predicted pattern sequences, which are compared with observed pattern sequences to declare the origin of fault. In practical case, observed pattern sequences depend on transport time. So if predicted pattern sequences are different from observed ones, the time weighted FCM with transport delay can be used to generate predicted ones. The fault diagnosis procedure can be completed during the actual propagation since pattern sequences of tvo different faults do not coincide in general.

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On the detection of faults on digital logic circuits using current sensor (전류 센서를 이용한 디지탈 논리회로의 고장 검출)

  • 신재흥;임인칠
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.33A no.2
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    • pp.173-183
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    • 1996
  • In this paper, a new structure that can do fault detection and location of digial logic circuits more efficiently using current testing techniques is proposed. In the conventional method, observation point for steady state power supply current was only one, but in the proposed method more fault classes are divided for fault detection and location through the ovservation of steady state power supply current at two points. Also, it is shown that this structure can be easily applied in detection of stuck-open fault which is not easy to do testing with conventional current testing techniques. In the presented mehtod, an extra trasnistor is used, and current path is made compulsorily in the CMOS circuits in which no current path can be established in steady state, then it can be known that stuck-open tault is in the MOS transistor on the considering current path, if this path disappears due to stuck-open fault. The validity and the effectiveness is shwon, thorugh the SPICE simulation of circuits with fault and the current path search experiment using current path search program based on transistor short model wirtten in C language on SUN sparc workstation.

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