• Title/Summary/Keyword: Diagnostic Pattern

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restriction Site Polymorphism of mtDNA for differentiating Anopheles quadrimaculatus (Say) Sibling Species (미토콘드리아 DNA 제한효소 절단부위 변이에 의한 Anopheles quadrimaculatus (Say) 모기의 자매종 구별)

  • ;S.K. Narang
    • Korean journal of applied entomology
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    • v.29 no.2
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    • pp.132-135
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    • 1990
  • Three mitochondrial cDNA probes from Aedes albopictus were used to demonstrate restriction site polymorphism in mtDNA of three sibling species of Anopheles quadrimaculatus(Say). It was shown by DNA hybridization to have substantial sequence homology betwen the mtDNA of different genus. The proves reveled local restriction site variation between members of the Anopheles quadrimaculatus sibling species complex. Mitochondrical DNA (mtDNA), isolated from individual mosquitoes was digested by type II restriction enzymes and four enzymes were found to be useful for the purpose. Hind III alone could be used to obtain a diagnostic restriction pattern.

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On-line Insulation Diagnostic by PD Monitoring Field Practical of UHF Technique for On-line PD Monitoring (UHF 기술을 이용한 온라인 부분방전 모니터링)

  • Oh, Yong;Choi, Yong-Sung;Hwang, Jong-Sun;Lee, Kyung-Sup
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.2
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    • pp.176-180
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    • 2008
  • A field-oriented UHF system for on-line PD monitoring of transformers is designed, which has been installed inside the oil tank of transformer in a substation by two ways: on-line installing mode through the oil-valve and pre-installing mode through the man hole/hand hole cover. This system has successfully captured long intermittent discharge signals that hadn't been detected through conventional techniques, and solved the problem successfully. The results demonstrate that UHF technique has great advantages for on-line PD monitoring of transformers. By adopting the peak detection technique, it becomes easy and effective for the transplantation of the phase-resolved pattern recognition technique from conventional method to UHF method, and then to realize continuous on-line monitoring, source characterization and trending analysis.

Diagnosis of Plasma Equipment using Neural Network and Impedance Match Monitoring

  • Byungwhan Kim
    • KIEE International Transaction on Systems and Control
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    • v.2D no.2
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    • pp.120-124
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    • 2002
  • A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency (rf) impedance match data. Using a match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with variations in process factors, which include rf source power, pressure, Ar, and $O_$2 flow rates. As an input to neural networks, two means and standard deviations of positions were used as well as a reflected power. Diagnostic accuracy was measured as a function of training factors, which include the number of hidden neurons, the magnitude of initial weights, and two gradients of neuron activation functions. The accuracy was the most sensitive to the number of hidden neurons. Interaction effects on the accuracy were also examined by performing a 2$^$4 full factorial experiment. The experiments were performed on multipole inductively coupled plasma equipment.

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A Study of the Preventive Diagnostic Algorithm of Gas in Oil for Power Transformer (가스분석을 이용한 변압기의 이상진단 알고리즘 연구)

  • Choi, I.H.;Kweon, D.J.;Jung, G.J.;You, Y.P.;Sun, J.H.;Kim, K.H.
    • Proceedings of the KIEE Conference
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    • 2000.07c
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    • pp.1903-1905
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    • 2000
  • Power transformers have a tendency of ultra-high voltage capacity as power demand increases day after day KEPCO also will have plan to supply transmission power from 345KV to 765KV in the early of 2000. Therefore, the fault by insulation destruction gives rise to large area of power failure in huge capacity transformers. On-line predictive diagnostics is very important in power transformers because of economic loss and its spreading effect. This study presents the algorithm for transformer oil analysis used KEPCO code, IEC code, gas pattern method and Dornenburg & Roger Ratio method. We also describe the MMI display of expert system programmed by Element Expert Tool(Neuron Data Inc.).

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Selecting Optimal Design Condition Based on Automobile Brake Feeling Using Mahalanobis Taguchi System (Mahalanobis Taguchi System을 이용한 자동차 브레이크 성능 만족도를 고려한 설계조건 선정에 관한 연구)

  • Hong, Jung-Eui;Kwon, Hong-Kyu
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.30 no.1
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    • pp.41-47
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    • 2007
  • Mahalanobis Taguchi-System (MTS) is a pattern information technology, which has been used in different diagnostic ap plications to make quantitative decisions by constructing a multivariate system using data analytic methods without any as sumption regarding statistical distribution. MTS performs Taguchi's fractional factorial design based on the Mahalanobis distance as a performance metric In this work, MTS used for analyzing automotive brake feeling system, which measured as a brake feel index (BFI) from 9 attributes. The automobile which has a good BFI score treated as a normal group for constructing Mahalanobis space. The results of this research show that two attributes (Pre load & Max deceleration) have a minus gain value and can be removed from further analysis. The difference of MD value between using all 9 attributes and just using significant attribute compared.

Three-poles Touch-type Corrosion Sensor for Edge Detection of Initial State of Iron Rust

  • Yonemoto, Naruto;Shida, Katsunori
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.308-311
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    • 1998
  • Some nondestructive diagnostic methods including various types of corrosion sensors have been investigated. Under these conditions, a new structure of sensor that has a pair of electrode and magneto-supply was proposed. In order to detect the edge of the iron rust part, three-poles touch-type corrosion sensor is now proposed. The iron rust pattern where the sensor touches is estimated by means of the impedance of the sensor, and the edge of the iron rust is recognized by comparing the three measured impedances. As the result, our proposed sensor is useful to detect the initial state of iron rust.

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A study on the PD detecting of C-GIS using AE sensor (AE센서를 이용한 C-GIS의 부분방전 검출에 관한 연구)

  • Lee, H.Y.;Lee, Y.H.;Sin, Y.S.;Seo, J.M.
    • Proceedings of the KIEE Conference
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    • 2003.07c
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    • pp.1659-1661
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    • 2003
  • Recently, diagnostic techniques have been investigated to defect a partial discharge in high voltage electrical equipment. We have studied the characteristics of the acoustic partial discharge originating from the electrical defects in cubicle GIS(C-GIS). An acoustic emission(AE) sensor is used on the enclosure to detect partial discharge source because the sensor is sensitive to stress waves in its frequency range that may not be from a partial discharge source. AE signal is analyzed with phase-magnitude-frequency number(${\Phi}$-V-n) and pulse per second(PPS). Experience result has shown that the omitted acoustic signal has phase dependency and phase shift characteristic according to increase with applied voltage. These result will be helpful to the pattern recognition of the acoustic partial discharge in a C-GIS.

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Graphical Methods for the Sensitivity Analysis in Discriminant Analysis

  • Jang, Dae-Heung;Anderson-Cook, Christine M.;Kim, Youngil
    • Communications for Statistical Applications and Methods
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    • v.22 no.5
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    • pp.475-485
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    • 2015
  • Similar to regression, many measures to detect influential data points in discriminant analysis have been developed. Many follow similar principles as the diagnostic measures used in linear regression in the context of discriminant analysis. Here we focus on the impact on the predicted classification posterior probability when a data point is omitted. The new method is intuitive and easily interpretable compared to existing methods. We also propose a graphical display to show the individual movement of the posterior probability of other data points when a specific data point is omitted. This enables the summaries to capture the overall pattern of the change.

Estimation of Far-field Radiation by 2-Dimensional EM Scattering (2차원 전자파 산란에 따른 방사패턴의 추정)

  • Kim, Tae Yong;Lee, Hoon-Jae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.51-52
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    • 2014
  • Non-destructive technique to measure internal structure and constant distribution of material can be widely used to exploration of mineral resources, identification of underground cables and buried pipelines, and diagnostic imaging in medical area. In this paper, we considered 2-dimensional EM scattering problem. Radiation pattern in far field is estimated by using some measured information obtained from near-field solutions.

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A Case Report of Vasovagal Syncope Treated by Oryeong-san Based on Shanghanlun Provisions (『상한론(傷寒論)』 변병진단체계(辨病診斷體系)에 근거하여 오령산(五笭散) 투여 후 호전된 미주신경성 실신 증례 보고 1례)

  • Doo, In-sun;Lee, Sung-jun
    • 대한상한금궤의학회지
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    • v.12 no.1
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    • pp.81-89
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    • 2020
  • Objective: This case report presents the effect of Oryeong-san on vasovagal syncope. The patient was diagnosed with Grater Yang disease based on Shanghanlun provisions. Methods: According to the disease pattern identification diagnostic system based on Shanghanlun provisions (DPIDS), we diagnosed the patient as presenting Greater Yang disease. The patient was treated with Oryeong-san for 45 days. The change in symptoms was estimated based on VAS. Results: After treatment, the patient's VAS score from 10 to 0 and he was completely cured. Conclusions: This case study shows the effectiveness of using Oryeong-san on vasovagal syncope according to DPIDS.