• Title/Summary/Keyword: fault groups

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Design of Fault Diagnostic and Fault Tolerant System for Induction Motors with Redundant Controller Area Network

  • Hong, Won-Pyo;Yoon, Chung-Sup;Kim, Dong-Hwa
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2004.11a
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    • pp.371-374
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    • 2004
  • Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment. Safety, reliability, efficiency, and performance are some of the major concerns of induction motor applications. Preventive maintenance of induction motors has been a topic great interest to industry because of their wide range application of industry. Since the use of mechanical sensors, such as vibration probes, strain gauges, and accelerometers is often impractical, the motor current signature analysis (MACA) techniques have gained murk popularity as diagnostic tool. Fault tolerant control (FTC) strives to make the system stable and retain acceptable performance under the system faults. All present FTC method can be classified into two groups. The first group is based on fault detection and diagnostics (FDD). The second group is independent of FDD and includes methods such as integrity control, reliable stabilization and simultaneous stabilization. This paper presents the fundamental FDD-based FTC methods, which are capable of on-line detection and diagnose of the induction motors. Therefore, our group has developed the embedded distributed fault tolerant and fault diagnosis system for industrial motor. This paper presents its architecture. These mechanisms are based on two 32-bit DSPs and each TMS320F2407 DSP module is checking stator current, voltage, temperatures, vibration and speed of the motor. The DSPs share information from each sensor or DSP through DPRAM with hardware implemented semaphore. And it communicates the motor status through field bus (CAN, RS485). From the designed system, we get primitive sensors data for the case of normal condition and two abnormal conditions of 3 phase induction motor control system is implemented. This paper is the first step to drive multi-motors with serial communication which can satisfy the real time operation using CAN protocol.

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Geometric Analysis of Minor Faults and Paleostress Reconstruction around the Dongnae Fault (동래단층 주변 소단층의 분포 특성과 고응력장 복원)

  • 조용찬;장태우;이정모
    • Journal of the Earthquake Engineering Society of Korea
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    • v.2 no.4
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    • pp.41-52
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    • 1998
  • The Dongnae Fault in the southeastern part of the Korean Peninsular is not a single fault but a complex fault zone composed of numerous minor faults. In order to deduce the paleostress tensor evolving the Dongnae Fault, we measured 329 faults in outcrops around the fault zone and analyzed the geometries of them. Most of them are steeply dipping(>65˚) and fall into three groups striking N10E, N30E and N70E. More than one half of them show the rakes less than 30˚ Paleostress tensor analysis using the collected fault data has been conducted with the Angelier's direct inversion method and the Choi's method. As result, four different principal paleostress axes each of which subtends an independent tectonic event are found. They are; (1) NNE-SSW compression and ESE-WNW extension (Event I), (2) NNE-SSW extension (Event II), (3) ESE-WNW extension (Event III) and (4) ENE-WSW compression and NNW-SSE extension (Event IV) in chronology. Therefore, the tectonic movement around the Dongnae Fault was firstly governed by strike-slip faulting related to Event I. Afterward, normal faults were formed by Event II and Event III. Finally, the dextral strike-slip faults along the major trace of the Dongnae Fault were formed in NNE direction related to Event IV.

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Geological Characteristics of Kyongju-Ulsan Area : Palaeomagnetism and Magnetic Susceptibility of the Granitic Rocks in the Ulsan Fault Area (경주-울산일원에 대한 지역지질 특성연구 : 울산단층주변 화강암류의 잔류자기와 대자율)

  • Kim, In-Soo;Son, Moon;Jung, Hyun-Jung;Lee, Joon-Dong;Kim, Jeong-Jin;Paik, In Sung
    • Economic and Environmental Geology
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    • v.31 no.1
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    • pp.31-43
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    • 1998
  • A total of 469 granitic samples were collected from 44 sites in the Ulsan fault area, southeast Korea. According to the previous petrographic studies, the granitic rocks have been divided into four groups (Hornblende biotite granodiorite, Hornblende granite, Biotite granite and Alkali-feldspar granite). NRM intensities, values of low field magnetic susceptibility, and magnetic behaviors during stepwise demagnetization experiments suggest rather a three-fold classification: In this scheme, Hornblende granite and Biotite granite are grouped together, as they did not show any significant differences in magnetic characteristics. Based on the Ishihara (1979)'s criterion, Alkali-feldspar granite is classified as ilmenite-series granite, whereas others are classified as magnetite-series granite. In the eastern part of the study area including the Tertiary basin area, declinations of site-mean characteristic remanent magnetizations (ChRMs) show clockwise deflection of more than 30 from the reference direction of east Asia. Both along and in the adjacent region of the Ulsan fault-line, however, no deflection of remanent direction was observed. A boundary line between the deflected and undeflected site-mean ChRMs is defined in this study, which runs roughly parallel to the Ulsan fault-line at the distance of about 6km eastward from the fault-line. We suggest that this newly found boundary line, which we call Yonil tectonic line, released dextral simple shear stress acted in the southeastern part of the Korean peninsula during the opening stage of the East Sea in the Early Cenozoic.

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A Statistical Analysis of the Seismicity of the Yangsan Fault System (양산단층계 지진활동의 통계적 분석)

  • 이기화;이전희;경재복
    • The Journal of Engineering Geology
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    • v.8 no.2
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    • pp.99-114
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    • 1998
  • The Yangsan fault system of Kyungsang Basin in the southeastern part of Korean peninsula is one of the most important structures in the peninsula. A number of strong earthquakes occurred in the vicinity of the fault. It was suggested that this fault can be divided into three segments: northern, central and southern ones. Earthquake data around the Yangsan fault were classified into two groups as incomplete and complete ones; the former is the data before the Choseon Dynasty and the latter is those since the dynasty. The maximum likelihood method was applied to compute seismicity parameters such as earthquake occurrence rates, b-values of frequency-magnitude relation and maximum possible magnitudes for each segment and the entire fault. These parameters show considerably different values from segment to segment. The b-value for the entire fault turned out to be 0.85 and maximum possible magnitudes for the northern, central and southern segments are 5.2, 6.8 and 6.0, respectively. The mean return periods for the maximum possible magnitudes for each segments are greater than 1000 years. In addition, according to the analysis of the frequency-magnitude relation, the occurrence pattern of earthquakes around the Yangsan fault show more similarity to the characteristic earthquake model than the Gutenberg-Richter model. The data for each segments are, however, too scarce to obtain any physically meaningful results.

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A Study on the Fault Diagnosis of Roller-Shape Using Frequency Analysis of Tension Signals and Artificial Neural Networks Based Approach in a Web Transport System

  • Tahk, Kyung-Mo;Shin, Kee-Hyun
    • Journal of Mechanical Science and Technology
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    • v.16 no.12
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    • pp.1604-1612
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    • 2002
  • Rollers in the continuous process systems are ones of key components that determine the quality of web products. The condition of rollers (e.g. eccentricity, runout) should be consistently monitored in order to maintain the process conditions (e.g. tension, edge position) within a required specification. In this paper, a new diagnosis algorithm is suggested to detect the defective rollers based on the frequency analysis of web tension signals. The kernel of this technique is to use the characteristic features (RMS, Peak value, Power spectral density) of tension signals which allow the identification of the faulty rollers and the diagnosis of the degree of fault in the rollers. The characteristic features could be used to train an artificial neural network which could classify roller conditions into three groups (normal, warning, and faulty conditions) The simulation and experimental results showed that the suggested diagnosis algorithm can be successfully used to identify the defective rollers as well as to diagnose the degree of the defect of those rollers.

Probabilistic seismic assessment of mega buckling-restrained braced frames under near-fault ground motions

  • Veismoradi, Sajad;Darvishan, Ehsan
    • Earthquakes and Structures
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    • v.15 no.5
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    • pp.487-498
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    • 2018
  • Buckling-restrained braces are passive control devices with high level of energy dissipation ability. However, they suffer from low post-yield stiffness which makes them vulnerable to severe ground motions, especially near-field earthquakes. Among the several methods proposed to improve resistance of BRB frames, mega-brace configuration can be a solution to increase frame lateral strength and stiffness and improve distribution of forces to prevent large displacement in braces. Due to the limited number of research regarding the performance of such systems, the current paper aims to assess seismic performance of BRB frames with mega-bracing arrangement under near-field earthquakes via a detailed probabilistic framework. For this purpose, a group of multi-story mega-BRB frames were modelled by OpenSEES software platform. In the first part of the paper, simplified procedures including nonlinear pushover and Incremental Dynamic Analysis were conducted for performance evaluation. Two groups of near-fault seismic ground motions (Non-pulse and Pulse-like records) were considered for analyses to take into account the effects of record-to-record uncertainties, as well as forward directivity on the results. In the second part, seismic reliability analyses are conducted in the context of performance based earthquake engineering. Two widely-known EDP-based and IM-based probabilistic frameworks are employed to estimate collapse potential of the structures. Results show that all the structures can successfully tolerate near-field earthquakes with a high level of confidence level. Therefore, mega-bracing configuration can be an effective alternative to conventional BRB bracing to withstand near-field earthquakes.

Fault Detection Method of GNSS Carrier Phase Measurement using Vehicle Velocity and Antenna Baseline Distance (이동체의 속도와 안테나 기저선을 활용한 반송파 측정값의 고장검출)

  • Park, Jae-Ik;Lee, Eun-Sung;Heo, Moon-Beom;Nam, Gi-Wook;Sim, Eun-Sup
    • Journal of Advanced Navigation Technology
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    • v.14 no.5
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    • pp.640-647
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    • 2010
  • Many methods have been proposed to detect faults of carrier phase measurements, but there are no distinguished methods for land transportation systems. in this paper, the baseline constraints are used to detect faults in GPS carrier phase measurements with vehicle dynamic information. The faults include the multipath on GPS carrier measurements. Multiple antenna groups are used for this research. In the measurement domain the fault detection has been accomplished so that the implementation is easier than other methods.

Software Fault Prediction using Semi-supervised Learning Methods (세미감독형 학습 기법을 사용한 소프트웨어 결함 예측)

  • Hong, Euyseok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.3
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    • pp.127-133
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    • 2019
  • Most studies of software fault prediction have been about supervised learning models that use only labeled training data. Although supervised learning usually shows high prediction performance, most development groups do not have sufficient labeled data. Unsupervised learning models that use only unlabeled data for training are difficult to build and show poor performance. Semi-supervised learning models that use both labeled data and unlabeled data can solve these problems. Self-training technique requires the fewest assumptions and constraints among semi-supervised techniques. In this paper, we implemented several models using self-training algorithms and evaluated them using Accuracy and AUC. As a result, YATSI showed the best performance.

Quench and Recovery Characteristics of Non-Inductively Wound HTS Coils with Various Winding (권선방식에 따른 무유도 권선형 HTS 코일의 퀜치 및 회복 비교특성)

  • Jo, Hyun-Chul;Chang, Ki-Sung;Kim, Young-Jae;Choi, Suk-Jin;Hwang, Young-Jin;Kim, Won-Cheol;Ko, Tae-Kuk
    • Progress in Superconductivity and Cryogenics
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    • v.12 no.1
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    • pp.37-41
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    • 2010
  • To limit fault current in a power system, superconducting fault current limiters (SFCLs) using high temperature superconducting (HTS) coils have been developed by many research groups so far. Non-inductive winding of HTS coils used for SFCLs can be classified into solenoid winding and pancake winding. Each of winding is expected to have different quench and recovery characteristics because the structure of solenoid winding differs from pancake winding's. Therefore it is important to the SFCLs application to investigate characteristics of each winding. In this paper, we deal with quench and recovery characteristics of four kinds of winding : solenoid winding, pancake winding without spacers, and with spacers of 2 and 4 mm thickness. In order to obtain quench and recovery parameters of coils, short circuit tests were performed in liquid nitrogen.

Processing and Characterization of a Direct Bonded SOI using SiO$_2$ Thin Film (SiO$_2$ 박막을 이용한 SOI 직접접합공정 및 특성)

  • 신동운;최두진;김긍호
    • Journal of the Korean Ceramic Society
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    • v.35 no.6
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    • pp.535-542
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    • 1998
  • SOI(silicon oninsulator) was fabricated through the direct bonding of a hydrophilized single crystal Si wafer and a thermally oxidized SiO2 thin film to investigate the stacking faults in silicon at the Si/SiO2 in-terface. At first the oxidation kinetics of SiO2 thin film and the stacking fault distribution at the oxidation interface were investigated. The stacking faults could be divided into two groups by their size and the small-er ones were incorporated into the larger ones as the oxidation time and temperature increased. The den-sity of the smaller ones based critically lower eventually. The SOI wafers directly bonded at the room temperature were annealed at 120$0^{\circ}C$ for 1 hour. The stacking faults at the bonding and oxidation interface were examined and there were anomalies in the distributions of the stacking faults of the bonded region to arrange in ordered ring-like fashion.

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