• 제목/요약/키워드: on-line identification

검색결과 568건 처리시간 0.025초

Modeling of Grade Change Operations in Paper Mills

  • Ko, Jun-Seok;Yeo, Yeong-Koo;Ha, Seong-Mun;Lim, Jung-Woo;Ko, Du-Seok;Hong Kang
    • 펄프종이기술
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    • 제35권5호
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    • pp.46-52
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    • 2003
  • In this work we developed the closed-loop model of a paper machine during grade change with the intention to provide a reliable dynamic model to be used in the model-based grade change control scheme. During the grade change, chemical and physical characteristics of paper process change with time. It is very difficult to represent these characteristics on-line by using physical process models. In this work, the wet circulation part and the drying section were considered as a single process and closed-loop identification technique was used to develop the grade change model. Comparison of the results of numerical simulations with mill operation data demonstrates the effectiveness of the model identified.

전류신호 해석에 의한 유도전동기 결함추출 연구 (A Study on Fault Detection of Induction Motor Using Current Signal Analysis)

  • 한상보;황돈하;강동식;손종덕
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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    • pp.274-279
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    • 2007
  • The fault identification of electrical rotating machinery have been special interests due to one of important elements in the industrial production line. It is directly related with products quality and production costs. The sudden breakdown of a motor will affect to the shut down of the whole processes. Therefore, rotating machines are required to a periodic diagnosis and maintenance for improving its reliability and increasing their lifetime. The objective of this work is to develop the diagnosis system with current signals for the effective identification of healthy and faulty motors using the developed diagnosis algorithm, which consists of the feature calculation, feature extraction, and feature classification procedures.

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조건부적인 퍼지 클러스터링을 이용한 온-라인 적응 뉴로-퍼지 제어 (On-line Adaptive Neuro-Fuzzy Control using Conditional Fuzzy Clustering)

  • 신동철;곽근창;전병석;김종근;유정웅
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.960-962
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    • 1999
  • The main idea of the proposed neuro-fuzzy system is conditional clustering whose main objective is to develop clusters preserving homogeneity of the clustered patterns with regard to their similarity in the input space as well as their respective values assumed in the output space. In the proposed neuro-fuzzy system, the structure identification is used with conditional fuzzy clustering, the parameter identification carried out by the hybrid learning scheme using back-propagation and total least squares.

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송전손실 상태식별법을 이용한 전압안정성 개선효과의 정량적 평가에 관한 연구 (A Study on the Quantatitive Evaluation of Voltage Stability Improvement Effect By the T/L-Loss System Identification Method)

  • 최종기;이봉용;김정훈
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1994년도 추계학술대회 논문집 학회본부
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    • pp.45-47
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    • 1994
  • The simulation of reactive power compensation in 5-bus and 25-bus system was conducted using transmission-line loss system identification method. Sensitivities of maximum load-power with respect to reactive power compensation was identified by the simulation. With sufficient reactive power compensation at the first voltage-collapsing load-bus, the first voltage collapse could be prevented until the next voltage-collapsing load-bus lost its voltage stability. And the total compensated reactive power at the first voltage-collapsing bus means reactive power margin of voltage collapse or distance to voltage collapse. This quantity can be useful for determining the size of compensating devices or the site to compensate.

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피도금걸이-랙 자동인식을 통한 도금라인 공정프로세스 효율화 방안 (Effective Process Improvement of Plating Line Based on Rack Auto-Identification)

  • 황제승;송옥수;장민기;임원태;문미경
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2013년도 추계학술발표대회
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    • pp.409-412
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    • 2013
  • 본 논문에서는 현재 표면처리산업에서의 피도금걸이-랙에 대한 수동적인 데이터 관리의 문제점을 해결하고자 모바일 RFID(Radio Frequency Identification) 리더기 및 스마트 모바일 디바이스를 이용한 시스템을 제안한다. 이를 위해 본 논문에서는 랙의 라이프사이클에 따른 상태전이를 분석하고, RFID 시스템을 이용한 자동인식기술을 사용하였다. 자동 인식된 랙은 현재 상태에 따라 전이를 일으키는 활동을 수행하도록 시스템을 구축하였으며, 다양한 유형의 랙을 각 상황에 맞게 식별해 내는 방법을 통해 도금라인 프로세스의 효율을 향상시킬 수 있도록 하였다.

PC-based Hand-Geometry Verification System

  • Kim Young-Tak;Kim Soo-Jong;Lee Chang-Gyu;Kim Gwan-Hyung;Kang Sung-In;Lee Jae-Hyun;Tack Han-Ho;Lee Sang-Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권3호
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    • pp.247-254
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    • 2006
  • Biometrics are getting more and more attention in recent years for security and other concerns. So far, only fingerprint recognition has seen limited success for on-line security check, since other biometrics verification and identification systems require more complicated and expensive acquisition interfaces and recognition processes. Hand-Geometry can be used for biometric verification and identification because of its acquisition convenience and good performance for verification and identification performance. It could also be a good candidate for online checks. Therefore, this paper proposes a Hand-Geometry recognition system based on geometrical features of hand. From anatomical point of view, human hand can be characterized by its length, width, thickness, geometrical composition, shapes of the palm, and shape and geometry of the fingers. This paper proposes thirty relevant features for a Hand-Geometry recognition system. This system presents verification results based on hand measurements of 20 individuals. The verification process has been tested on a size of $320{\times}240$ image, and result of the verification process have hit rate of 95% and FAR of 0.020.

Wavelet Analysis to Real-Time Fabric Defects Detection in Weaving processes

  • Kim, Sung-Shin;Bae, Hyeon;Jung, Jae-Ryong;Vachtsevanos, George J.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권1호
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    • pp.89-93
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    • 2002
  • This paper introduces a vision-based on-line fabric inspection methodology of woven textile fabrics. Current procedure for determination of fabric defects in the textile industry is performed by human in the off-line stage. The advantage of the on-line inspection system is not only defect detection and identification, but also 벼ality improvement by a feedback control loop to adjust set-points. The proposed inspection system consists of hardware and software components. The hardware components consist of CCD array cameras, a frame grabber and appropriate illumination. The software routines capitalize upon vertical and horizontal scanning algorithms characteristic of a particular deflect. The signal to noise ratio (SNR) calculation based on the results of the wavelet transform is performed to measure any deflects. The defect declaration is carried out employing SNR and scanning methods. Test results from different types of defect and different style of fabric demonstrate the effectiveness of the proposed inspection system.

Identification of Novel Clubroot Resistance Loci in Brassic rapa

  • Pang, Wenxing;Chen, Jingjing;Yu, Sha;Shen, Xiangqun;Zhang, Chunyu;Piao, Zhongyun
    • 한국균학회소식:학술대회논문집
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    • 한국균학회 2015년도 춘계학술대회 및 임시총회
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    • pp.42-42
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    • 2015
  • Plasmodiophora brassicae, the causal agent of clubroot disease, does the most serious damage to the Brassica crops. The limited control approaches make that the identification of clubroot resistance (CR) is more important for developing CR cultivars of the Brassica crops. So far, 8 CR loci were mapped. However, the variation of P. brassicae leads to the rapid erosion of its resistance. To identify novel CR genes, we employed three mapping population, derived from crosses between Chinese cabbage and turnip inbred lines ($59-1{\times}ECD04$ and $BJN3-1{\times}Siloga$) or between Chinese cabbage inbred lines ($BJN3-1{\times}85-I-II$), to perform QTL analysis. Totally, 8 CR loci were indentified and showed race-specific resistance. Physical mapping of these 8 loci suggested that 4 were located previously mapped position, indicating they might be the same allele or different alleles of the same genes. Other 4 loci were found to be novel. Further, CR near isogenic line carrying each CR locus was developed based on the marker assisted selection. Verification of these CR loci was underway. Identification of these novel CR genes would facilitate to breed broad-spectrum and durable CR cultivars of B. rapa by pyramiding strategies.

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Seismic damage estimation through measurable dynamic characteristics

  • Lakshmanan, N.;Raghuprasad, B.K.;Muthumani, K.;Gopalakrishnan, N.;Sreekala, R.
    • Computers and Concrete
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    • 제4권3호
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    • pp.167-186
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    • 2007
  • Ductility based design of reinforced concrete structures implicitly assumes certain damage under the action of a design basis earthquake. The damage undergone by a structure needs to be quantified, so as to assess the post-seismic reparability and functionality of the structure. The paper presents an analytical method of quantification and location of seismic damage, through system identification methods. It may be noted that soft ground storied buildings are the major casualties in any earthquake and hence the example structure is a soft or weak first storied one, whose seismic response and temporal variation of damage are computed using a non-linear dynamic analysis program (IDARC) and compared with a normal structure. Time period based damage identification model is used and suitably calibrated with classic damage models. Regenerated stiffness of the three degrees of freedom model (for the three storied frame) is used to locate the damage, both on-line as well as after the seismic event. Multi resolution analysis using wavelets is also used for localized damage identification for soft storey columns.

가상 네트워크 망으로부터 문제점 식별 및 진단에 관한 연구 (A Study on Problem Identification and Diagnosis from Virtual Network)

  • 김정수
    • 한국컴퓨터정보학회논문지
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    • 제15권8호
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    • pp.67-78
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    • 2010
  • ISP 사업자는 NMS을 이용하여 자사망에 대한 원활한 서비스를 목적으로 지속적인 모니터링을 하고 있다. NMS는 ISP 사업자의 네트워크 망을 구축한 이후, 이 NMS로 자사 네트워크 망에 대한 장애 이벤트를 분석하여 잠재적인 장애 원인에 대한 진단을 수행한다. 그러나 만약 ISP 사업자가 네트워크 망을 구축하기 이전 가상 네트워크 망모형 설계 및 네트워크 망에 대한 문제점 식별과 진단이 가능한 소프트웨어가 있다면 어떨까라는 의문의 동기로 본 연구를 시작하게 되었다. 따라서 본 논문에서는 가상의 네트워크 망 모형을 통한 장애 원인 및 진단이 가능한 소프트웨어 기반의 시뮬레이션 툴인 NetDoctor를 소개한다. 이 NetDoctor를 이용하여 가상의 네트워크 망을 구성한 후 고의적으로 장애를 발생시키고 그 장애에 대한 식별이 가능한지를 분석하였다. 실험 결과, NetDoctor는 가상 망모형에 대한 문제점 식별과 진단이 가능한 것을 알 수 있었다. 국내 NetDoctor를 이용한 연구 사례가 미흡한 점을 가만해 볼 때 본 연구를 통하여 가상 망모형에 대한 문제점 식별과 진단의 기초 연구가 되길 바란다.