• 제목/요약/키워드: State-Machine

검색결과 1,462건 처리시간 0.034초

Shear resistance of corrugated web steel beams with circular web openings: Test and machine learning-based prediction

  • Yan-Wen Li;Guo-Qiang Li;Lei Xiao;Michael C.H. Yam;Jing-Zhou Zhang
    • Steel and Composite Structures
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    • 제47권1호
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    • pp.103-117
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    • 2023
  • This paper presents an investigation on the shear resistance of corrugated web steel beams (CWBs) with a circular web opening. A total of five specimens with different diameters of web openings were designed and tested with vertical load applied on the top flange at mid-span. The ultimate strengths, failure modes, and load versus middle displacement curves were obtained from the tests. Following the tests, numerical models of the CWBs were developed and validated against the test results. The influence of the web plate thickness, steel grade, opening diameter, and location on the shear strength of the CWBs was extensively investigated. An XGBoost machine learning model for shear resistance prediction was trained based on 256 CWB samples. The XGBoost model with optimal hyperparameters showed excellent accuracy and exceeded the accuracy of the available design equations. The effects of geometric parameters and material properties on the shear resistance were evaluated using the SHAP method.

계층적 컨볼루션 신경망을 이용한 공작기계의 공구 상태 진단 (Machine Tool State Monitoring Using Hierarchical Convolution Neural Network)

  • 이경민
    • 융합신호처리학회논문지
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    • 제23권2호
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    • pp.84-90
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    • 2022
  • 공작기계 상태 진단은 기계의 상태를 자동으로 감지하는 프로세스이다. 실제로 가공의 효율과 제조공정에서 제품의 품질은 공구 상태에 영향을 받으며 마모 및 파손된 공구는 공정 성능에 보다 심각한 문제를 일으키고 제품의 품질 저하를 일으킬 수 있다. 따라서 적절한 시기에 공구가 교체될 수 있도록 공구 마모 진행 및 공정 중 파손 방지 시스템 개발이 필요하다. 본 논문에서는 공구의 적절한 교체 시기 등을 진단하기 위해 딥러닝 기반의 계층적 컨볼루션 신경망을 이용하여 5가지 공구 상태를 진단하는 방법을 제안한다. 기계가 공작물을 절삭할 때 발생하는 1차원 음향 신호를 주파수 기반의 전력스펙트럼밀도 2차원 영상으로 변환하여 컨볼루션 신경망의 입력으로 사용한다. 학습 모델은 계층적 3단계를 거쳐 5가지 공구 상태를 진단한다. 제안한 방법은 기존의 방법과 비교하여 높은 정확도를 보였고, 실시간 연동을 통해 다양한 공작기계를 모니터링할 수 있는 스마트팩토리 고장 진단 시스템에 활용할 수 있을 것이다.

Parameter Estimation of Three-Phase Induction Motor by Using Genetic Algorithm

  • Jangjit, Seesak;Laohachai, Panthep
    • Journal of Electrical Engineering and Technology
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    • 제4권3호
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    • pp.360-364
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    • 2009
  • This paper suggests the techniques in determining the values of the steady-state equivalent circuit parameters of a three-phase induction machine using genetic algorithm. The parameter estimation procedure is based on the steady-state phase current versus slip and input power versus slip characteristics. The propose estimation algorithm is of non-linear kind based on selection in genetic algorithm. The machine parameters are obtained as the solution of a minimization of objective function by genetic algorithm. Simulation shows good performance of the propose procedures.

3GPP2 환경에서 MFSM기반 Multi-MRF 동기화 모델 (MFSM-based Multi-MRF Synchronization Model in 3GPP2)

  • 신동진;김수창;문승현;송병권;정태의
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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    • pp.109-111
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    • 2002
  • 기존의 많은 동기화 모델 중 EFSM(Extended Finite State Machine)기반 동기화 모델을 수정 보완한 MFSM(Modified Finite State Machine)을 제안한다. MFSM은 미디어간 동기화를 위한 Intermedia Synchronization 역할을 Sync Master와 Sync Slave로 나누어 기존 논문의 단점을 보완한다. 3GPP2 환경에서 멀티미디어 데이터 송수신시에 미디어 소스간에 동기화를 위해서 MRF(Media Resource Function)가 데이터를 중계하는 MFSM기반의 동기화 모델을 제안한다.

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제한된 크기의 버퍼를 가진 생산 시스템의 분석 (Analysis of Transfer Lines with Finite Storage Buffers)

  • 허성관;하정진
    • 산업경영시스템학회지
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    • 제15권26호
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    • pp.151-157
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    • 1992
  • This paper presents a method for analyzing the transfer lines with finite storage buffers. Each machine spends a random amount of time processing each material. This transfer line can be modeled by the tandem queueing system with finite buffers. The great dimensionality of the state space renders the analysis of such system a formidable task. We propose an efficient algorithm to obtain the marginal state probabilities based on the exact algorithm for the two-machine system. Other performance measures, such as the utilization, the blocking probability, the average sojourn time, and the average queue length, can be easily calculated.

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Layered Classifier System by Classification of Environment

  • Kim, Ji-Yoon;Lee, Dong-Wook;Sim, Kwee-Bo
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.1517-1520
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    • 2003
  • Generally, the environment we want to apply classifier system to is composed of several state spaces. So in this paper, we propose the layered classifier system having multifarious rule bases. From sensor's inputs, the lower layer of the layered classifier system learns strategies for each environmental state space. The higher layer learns how to allot each rule base of the strategy for environmental state space properly. To evaluate the proposed architecture of classifier system, we designed virtual environment having multifarious state spaces and from the analysis of the experimental results, we affirm that layered classifier system could find better strategies during a little time than other established classifier system's findings.

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CNC 밀링머신 이송장치의 오차유형 및 정상상태 오차해석에 의한 제어기 설계 (Controller Design by Error Shape and Steady-State Error Analysis for a Feed Drive System in CNC Milling Machine)

  • 이건복;길형균
    • 한국정밀공학회지
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    • 제22권3호
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    • pp.52-60
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    • 2005
  • This paper deals with the position control fur a feed drive system in CNC milling machine, which utilizes a modified error signal for the elimination of steady-state error. A linear time-invariant (LTI) system has consistent properties in response to standard test signal inputs. Those also appear in an error curve acquired from the response. From such properties, constructed is an error model for the position control of the feed drive. And then added is the output of the error model to the current error signal. Consequently the resulting proportional control system brings performance improvement in view of the steady-state error. The effectiveness of the proposed scheme is confirmed through simulations and experiments.

유도전동기 축소모델을 이용한 센서리스 칼만 필터 속도 추정기 (Sensorless Velocity Estimation using the Reduced-order State Equation of Induction Motor based on Kalman Filter)

  • 이승현;정교범
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1998년도 전력전자학술대회 논문집
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    • pp.245-248
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    • 1998
  • This paper proposes a sensorless velocity estimator using the reduced-order state equation of induction motor based on Kalman Filter. The electrical transients in the stator voltage equations of induction motor are neglected in the reduced-order model. The advantage of using the reduced-order model is to reduce the required number of numerical integrations for filtering the rotor speed. As changing the operating points and the parameters of the induction motor in simulation studies, the behavior of the sensorless velocity estimator as predicted by the reduced-order state equation of induction machine is compared with the behavior predicted by the complete state equation of induction machine.

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A New Breed of Electric Machines - Basic Analysis and Applications of Dual Mechanical Port Electric Machines

  • Xu Longya
    • Journal of Electrical Engineering and Technology
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    • 제1권1호
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    • pp.73-79
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    • 2006
  • Conceptually, mechanical port of an electric machine can be doubled and the concept of dual-mechanical-port (DMP) will then give birth to a new breed of electric machines. In this paper, the various possible structures of DMP electric machine are discussed. Basic modeling and analysis issues related to the DMP electric machine are presented. An exemplary design of DMP machine is given and verified by FEM results. Potential applications and future research work are given to conclude the paper.