• 제목/요약/키워드: Degradation diagnosis

검색결과 240건 처리시간 0.026초

효율적인 센서 노드 고장 진단 알고리즘 (An Effective Algorithm for Diagnosing Sensor Node Faults)

  • 오원근;이성근
    • 한국전자통신학회논문지
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    • 제10권2호
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    • pp.283-288
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    • 2015
  • 센서 네트웨크에서 센서 노드는 고장이나 전력 손실 등과 같은 다양한 원인에 의해 오작동 및 부정확한 데이터 전송의 가능성을 가지고 있으며, 이러한 센서 노드의 오류는 전체 네트워크의 신뢰성 있는 서비스에 지장을 줄 수 있다. 본 논문에서는 센서 노드 자체의 동작 오류를 줄이는 방안으로 다중센서를 사용한 센서 노드의 고장 진단과 데이터 처리 알고리즘을 제안하였다. 제안된 방법은 센서 노드에 다수의 센서를 사용하여 측정하고, 각 센서의 값을 비교하여 이상 유무를 판별하여 신뢰성 있는 데이터만을 전송하는 방식이다. 이 알고리즘은 센서의 수가 많아지는 단점이 있지만, 간단한 연산으로 센서 이상을 검출할 수 있는 방법이기 때문에 높은 신뢰도가 중요한 응용 분야에는 유용하게 사용될 수 있을 것이다.

음향방출 계측법을 이용한 프랙탈 특성과 트리잉 파괴진단에 관한 연구 (A Study on the Diagnosis of Treeing Breakdown and Fractal Characteristics Using the Method of Acoustic Enission)

  • 김성홍;심종탁;김재환
    • 한국조명전기설비학회지:조명전기설비
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    • 제11권6호
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    • pp.50-56
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    • 1997
  • 전극들과 절연재료 사이의 결합과 고분자 절연체 내부에서 여러 가지 결함에 의한 부분 방전이 발생함으로 일어날 수 있는 절연 재료의 트리 열화를 파괴 예지할 목적으로 하였다. 부분 방전에 기인한 트리잉은 절연 재료의 파괴를 일으킬 수 있는 중요한 원인 가운데 하나다. 최근에는 절연 파괴 예지와 절연 재료의 열화 진단을 하는 방법이 중요하게 되었다. 연구 목적은 자동 계측 시스템을 사용하여 인가전압 11[kV], 인공적인 침상보이드(1.5[mm])을 지닌 고분자 절연체 내부에서 음향 방출시스템과 프랙탈 차원을 사용하여 트리 현상을 관찰하였다. 따라서 본 논문에는 최소자승법에 의한 회귀분석을 사용하여 위상각-음향방출 펄스크기-열화시간 양상과 위상각-음향방출 펄스수-열화시간과 프랙탈 차원의 관계를 통하여 파괴가 발생하기 전의 파괴 예지법으로 사용하였다.

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경년열화에 따른 송전용 폴리머 현수애자의 표면 및 트래킹 성능 (Surface and Tracking Properties of Polymer Suspension Insulator for Power Transmission with secular variation)

  • 조한구;이운용;한세원;한동회;허종철;최인혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 추계학술대회 논문집 전기물성,응용부문
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    • pp.233-236
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    • 2004
  • Recently, the polymer insulators that are used for high voltage applications have some advantages such as light weight, small size, vandalism resistance, hydrophobicity and easy making process. During outdoor service of polymer insulators, the surface of the insulating material is frequently subjected to moisture and contamination that lead to dry band arcing. Their tracking resistance, erosion resistance, end sealing and shed design are very important because dry band arcing causes degradation of polymer surface. The shape design of porcelain insulator is formalized but design standard for polymer insulator is no standardized up to now, much research is necessary in real condition. In this paper, the surface and tracking properties of polymer suspension insulator for power transmission is investigated with ICP-AES, SEM, EDX, tracking wheel test and flashover voltage test. The diagnosis of insulator sample in tracking test hass been analyzed by leakage current STRI Guide and thermal image.

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6.6 kV 회전기 고정자 권선에서 부분방전 신호 검출을 위한 평면 패치 센서 설계 (The Design of a Planar Patch Sensor for Partial Discharge Diagnosis in 6.6 kV Rotating Machine Stator Windings)

  • 임광진;박노준;김희동;주영호;박대희
    • 한국전기전자재료학회논문지
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    • 제21권5호
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    • pp.481-485
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    • 2008
  • In stator windings of 6.6 kV rotating machine, corona discharge, surface discharge and internal discharge are caused mainly by internal voids and insulation degradation. Also, if partial discharge occurs in inner-part of stator windings, it will be happened electromagnetic pulses at wide frequency range. In case of discharge spark, electromagnetic pulse generated from discharge source, and we can detect it by using various RF resonators as an EM sensor. In order to detect these kind of electromagnetic sources, we have designed and fabricated planar patch sensor using CST MWS simulation, and also PD signals from artificial defected cable were measured by our proposed sensor. Furthermore, HFCT was used as a reference sensor and compared with our proposed new planar patch sensor.

맘모패드의 새로운 재질에 관한 평가 (Evaluation of New Material Mammopad)

  • 문영주;김상현
    • 대한방사선기술학회지:방사선기술과학
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    • 제42권4호
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    • pp.265-270
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    • 2019
  • Mammography is the most useful test for the early diagnosis of breast cancer. The MammoPad can be used for the purpose of reducing the pain felt by the patient due to the pressure of the breast. MammoPad cushion the pressure between the breasts and the equipment and reduce the patient's discomfort. A new material pad was fabricated to solve the problem of the H-pad which is currently in circulation. Quantitative evaluation of SNR and CNR and qualitative evaluation of imitation lesion using ACR Phantom were performed. In the quantitative evaluation, SNR and CNR of Non pad and Filter pad were not statistically significant.(p>0.05) In the qualitative evaluation, Fiber and Imitation lesion of H-pad and Filter pad were statistically significant(p<0.05), and all values of Calcification and Mass were not statistically significant. (p>0.05) In addition, Fiber, calcification, mass, and imitation lesion were not statistically significant in both Non pad and Filter pad.(p>0.05) Through this study, it was confirmed that the newly created Filter pad minimizes image quality degradation and can replace existing products.

Deubiquitinating enzymes as cancer biomarkers: new therapeutic opportunities?

  • Poondla, Naresh;Chandrasekaran, Arun Pandian;Kim, Kye-Seong;Ramakrishna, Suresh
    • BMB Reports
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    • 제52권3호
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    • pp.181-189
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    • 2019
  • Cancer remains a life-threatening disease and accounts for the major mortality rates worldwide. The practice of using biomarkers for early detection, staging, and customized therapy may increase cancer patients' survival. Deubiquitinating enzymes (DUBs) are a family of proteases that remove ubiquitin tags from proteins of interest undergoing proteasomal degradation. DUBs play several functional roles other than deubiquitination. One of the important roles of DUBs is regulation of tumor progression. Several reports have suggested that the DUB family members were highly-elevated in various cancer cells and tissues in different stages of cancer. These findings suggest that the DUBs could be used as drug targets in cancer therapeutics. In this review, we recapitulate the role of the DUB family members, including ubiquitin-specific protease, otubain protease, and important candidates from other family members. Our aim was to better understand the connection between DUB expression profiles and cancers to allow researchers to design inhibitors or gene therapies to improve diagnosis and prognosis of cancers.

Personalized Specific Premature Contraction Arrhythmia Classification Method Based on QRS Features in Smart Healthcare Environments

  • Cho, Ik-Sung
    • 전기전자학회논문지
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    • 제25권1호
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    • pp.212-217
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    • 2021
  • Premature contraction arrhythmia is the most common disease among arrhythmia and it may cause serious situations such as ventricular fibrillation and ventricular tachycardia. Most of arrhythmia clasification methods have been developed with the primary objective of the high detection performance without taking into account the computational complexity. Also, personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. Therefore it is necessary to design efficient method that classifies arrhythmia by analyzing the persons's physical condition and decreases computational cost by accurately detecting minimal feature point based on only QRS features. We propose method for personalized specific classification of premature contraction arrhythmia based on QRS features in smart healthcare environments. For this purpose, we detected R wave through the preprocessing method and SOM and selected abnormal signal sets.. Also, we developed algorithm to classify premature contraction arrhythmia using QRS pattern, RR interval, threshold for amplitude of R wave. The performance of R wave detection, Premature ventricular contraction classification is evaluated by using of MIT-BIH arrhythmia database that included over 30 PVC(Premature Ventricular Contraction) and PAC(Premature Atrial Contraction). The achieved scores indicate the average of 98.24% in R wave detection and the rate of 97.31% in Premature ventricular contraction classification.

Online railway wheel defect detection under varying running-speed conditions by multi-kernel relevance vector machine

  • Wei, Yuan-Hao;Wang, You-Wu;Ni, Yi-Qing
    • Smart Structures and Systems
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    • 제30권3호
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    • pp.303-315
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    • 2022
  • The degradation of wheel tread may result in serious hazards in the railway operation system. Therefore, timely wheel defect diagnosis of in-service trains to avoid tragic events is of particular importance. The focus of this study is to develop a novel wheel defect detection approach based on the relevance vector machine (RVM) which enables online detection of potentially defective wheels with trackside monitoring data acquired under different running-speed conditions. With the dynamic strain responses collected by a trackside monitoring system, the cumulative Fourier amplitudes (CFA) characterizing the effect of individual wheels are extracted to formulate multiple probabilistic regression models (MPRMs) in terms of multi-kernel RVM, which accommodate both variables of vibration frequency and running speed. Compared with the general single-kernel RVM-based model, the proposed multi-kernel MPRM approach bears better local and global representation ability and generalization performance, which are prerequisite for reliable wheel defect detection by means of data acquired under different running-speed conditions. After formulating the MPRMs, we adopt a Bayesian null hypothesis indicator for wheel defect identification and quantification, and the proposed method is demonstrated by utilizing real-world monitoring data acquired by an FBG-based trackside monitoring system deployed on a high-speed trial railway. The results testify the validity of the proposed method for wheel defect detection under different running-speed conditions.

Identification and structure of AIMP2-DX2 for therapeutic perspectives

  • Hyeon Jin Kim;Mi Suk Jeong;Se Bok Jang
    • BMB Reports
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    • 제57권7호
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    • pp.318-323
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    • 2024
  • Regulation of cell fate and lung cell differentiation is associated with Aminoacyl-tRNA synthetases (ARS)-interacting multifunctional protein 2 (AIMP2), which acts as a non-enzymatic component required for the multi-tRNA synthetase complex. In response to DNA damage, a component of AIMP2 separates from the multi-tRNA synthetase complex, binds to p53, and prevents its degradation by MDM2, inducing apoptosis. Additionally, AIMP2 reduces proliferation in TGF-β and Wnt pathways, while enhancing apoptotic signaling induced by tumor necrosis factor-α. Given the crucial role of these pathways in tumorigenesis, AIMP2 is expected to function as a broad-spectrum tumor suppressor. The full-length AIMP2 transcript consists of four exons, with a small section of the pre-mRNA undergoing alternative splicing to produce a variant (AIMP2-DX2) lacking the second exon. AIMP2-DX2 binds to FBP, TRAF2, and p53 similarly to AIMP2, but competes with AIMP2 for binding to these target proteins, thereby impairing its tumor-suppressive activity. AIMP2-DX2 is specifically expressed in a diverse range of cancer cells, including breast cancer, liver cancer, bone cancer, and stomach cancer. There is growing interest in AIMP2-DX2 as a promising biomarker for prognosis and diagnosis, with AIMP2-DX2 inhibition attracting significant interest as a potentially effective therapeutic approach for the treatment of lung, ovarian, prostate, and nasopharyngeal cancers.

MRI 영상의 PSNR 평가 (PSNR Appraisal of MRI Image)

  • 강광수;이준행
    • 한국방사선학회논문지
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    • 제3권4호
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    • pp.13-21
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    • 2009
  • MRI System은 각종 여러 가지 Parameter들로 구성되어 있다. 그중 MRI 영상의 화질을 빼놓고 MRI를 논한다는 것은 어려운 일이다. 각종 Parameter들이 개발되고 발전되어오면서 MRI영상에서도 예전 System에서 보여지는 영상과는 비교 할 수 없을 정도의 고화질을 출력하고 있다. 그리고 방사선 영상 System이 고식적인 Film방식에서 digital방식으로 전환되어가고 있고 그에 따른 병원의 모든 시스템이 전산화가 되어가고 있다. 방사선 영상의 관리에 있어서 저장 이라는 부분이 아주 중요한 ��을 차지하고 있다. 그 방대한 자료를 Server에 저장하는 방법으로는 압축을 이용 하여 저장하는 방법을 사용하게 된다. 이 때 발생한 문제점은 원본 영상에 비해 압축시 영상의 화질 저하가 발생한다는 것이다. 의료 영상에서는 조그마한 화질저하도 오진의 우려가 있으므로 각별히 주의해야할 사항이다. 본 논문에서는 병원에서 진료중인 영상을 대상으로 각각의 파일 변환과 원본과의 비교, 원본 영상과 진료에 사용되어지는 모니터에서의 MRI 영상의 화질을 PSNR을 이용한 평가와 영상 평가방법에 의한 평가를 하였다. 실험결과 원본과 각종 영상 압축방법을 이용하여 압축한 영상을 비교 분석 하였는데 화질저하가 거의 나타나지 않았다. 하지만 원본영상을 display하는 모니터의 화질 에서 상당한 문제점이 드러났다. 판독용 모니터 와 의료용 모니터에서는 손색없는 고해상도의 영상을 출력해 냈는가 반면 일반 CRT, LCD 모니터에서는 각종 노이즈, 영상왜곡등 많은 문제점들이 나타났다.

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