• 제목/요약/키워드: Index machine

검색결과 547건 처리시간 0.029초

F-RPN(Failure-RPN)을 이용한 장비 고장률 개선 연구: 반도체 식각 공정을 중심으로 (A Study on Machine Failure Improvement Using F-RPN(Failure-RPN): Focusing on the Semiconductor Etching Process)

  • 이형근;홍용민;강성우
    • 대한안전경영과학회지
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    • 제23권3호
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    • pp.27-33
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    • 2021
  • The purpose of this study is to present a novel indicator for analyzing machine failure based on its idle time and productivity. Existing machine repair plan was limited to machine experts from its manufacturing industries. This study evaluates the repair status of machines and extracts machines that need improvement. In this study, F-RPN was calculated using the etching process data provided by the 2018 PHM Data Challenge. Each S(S: Severity), O(O: Occurence), D(D: Detection) is divided into the idle time of the machine, the number of fault data, and the failure rate, respectively. The repair status of machine is quantified through the F-RPN calculated by multiplying S, O, and D. This study conducts a case study of machine in a semiconductor etching process. The process capability index has the disadvantage of not being able to divide the values outside the range. The performance of this index declines when the manufacturing process is under control, hereby introducing F-RPN to evaluate machine status that are difficult to distinguish by process capability index.

COMPARATIVE ANALYSIS ON MACHINE LEARNING MODELS FOR PREDICTING KOSPI200 INDEX RETURNS

  • Gu, Bonsang;Song, Joonhyuk
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제24권4호
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    • pp.211-226
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    • 2017
  • In this paper, machine learning models employed in various fields are discussed and applied to KOSPI200 stock index return forecasting. The results of hyperparameter analysis of the machine learning models are also reported and practical methods for each model are presented. As a result of the analysis, Support Vector Machine and Artificial Neural Network showed a better performance than k-Nearest Neighbor and Random Forest.

머시닝센터의 기계능력지수 평가 및 기계특성과의 분석 (Machine Capability Index Evaluation of Machining Center and Comparative Analysis with Machine Property)

  • 홍원표
    • 한국생산제조학회지
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    • 제22권3호
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    • pp.349-355
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    • 2013
  • Recently, there is an increasing need to produce more precise products with small deviations from defined target values. Machine capability is the ability of a machine tool to produce parts within a tolerance interval. Capability indices are a statistical way of describing how well a product is machined compared to defined target values and tolerances. Today, there is no standardized way to acquire a machine capability value. This paper describes a method for evaluating machine capability indices in machining centers. After the machining of specimens, the straightness, roundness, and positioning accuracy were measured by using CMM (coordinate measuring machine). These measured values and defined tolerances were used to evaluate the machine capability indices. It will be useful for the industry to have standardized ways to choose and calculate machine capability indices.

공작기계 틸팅 인덱스 테이블의 특성 해석에 관한 연구 (A Study on the Characteristic Analysis of a Tilting Index Table for Machine Tools)

  • 최치혁;이춘만
    • 한국기계가공학회지
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    • 제10권3호
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    • pp.7-12
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    • 2011
  • In the recent field of 5-axis machine tools, it is necessary to improve machining ability. The tilting index table is a key unit in order to manufacture some non-rotational and 3-dimensional parts by using conventional machining centers. In this study, the structural analysis of a tilting index table is carried out and the displacement and distribution of stress in the tilting index table is analysed to design the table safely. The modal analysis is performed in order to confirm the frequency response about the vibration having a large effect on the machine tools. The dynamic analysis is performed in order to confirm the rigidity, and the structural stability has been verified.

Landsat-8 위성영상 기반 수분지수 및 기계학습을 활용한 대구광역시의 지표수 탐지 (Detection of Surface Water Bodies in Daegu Using Various Water Indices and Machine Learning Technique Based on the Landsat-8 Satellite Image)

  • 정윤재;김경섭;박인선;정연인
    • 한국지리정보학회지
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    • 제24권1호
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    • pp.1-11
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    • 2021
  • 위성영상을 활용한 하천, 습지, 호수 등 지표수 객체의 탐지는 해당 지역의 수자원 관리 및 조사 업무에 효율적으로 활용될 수 있다. 본 연구에서는 원격탐사 분야에서 물을 탐지하기 위해 제공하는 수분지수(Water Index)와 영상으로부터 객체를 인식하는 데 폭넓게 활용되는 기계학습(Machine learning) 기법을 대구광역시를 촬영한 Landsat-8 위성영상에 개별적으로 적용하여 하천, 호수 등 다양한 지표수 객체를 탐지하고 그 결과를 비교하였다. 우선 Landsat-8 위성영상의 다중분광 밴드로부터 NDWI(Normalized Difference Water Index), MNDWI(Modified Normalized Difference Water Index) 영상을 생성하였고, 임계치를 적용하여 개별 영상으로부터 물과 그 외 지역을 구분할 수 있는 이진 영상(Binary image)을 제작하였다. 그리고 기계학습 기법인 SVM(Support Vector Machine)을 동일 위성영상에 적용하여 토지 피복 영상을 제작하고 이로부터 이진 영상을 제작하였다. 최종적으로 100개의 검사점(Checkpoints)을 사용하여 세 이진 영상으로부터 지표수 탐지를 위한 정확도를 오차 행렬을 활용하여 계산하였다. 그 결과, MNDWI 영상으로부터 제작된 이진 영상의 정확도(84%)가 NDWI 영상으로부터 제작된 이진 영상의 정확도(94%)와 SVM에 의해 제작된 이진 영상의 정확도(96%)에 비해 낮았으며, 모든 이진 영상에서 그림자 등의 원인으로 인해 일부 육지 분류 결과가 지표수 객체로 오분류되었다.

컬러 컴퓨터 시각에 의한 사과 선별 기준색깔 선정 (Selection of Apple Ground Color for Maturity Index Using Color Machine Vision)

  • 서상룡;성제훈
    • Journal of Biosystems Engineering
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    • 제22권2호
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    • pp.210-216
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    • 1997
  • A study to select ground colors of Fuji apple for maturity index which are needed to standardize grading of the apples is presented. Two extreme colors of immature and fully mature Fuji and Zonagold apples produced in Korea were determined. Various ground colors of Fuji apple between the two extreme colors were collected and classified by human vision and colors of Fuji apple for maturity index were selected from the classification. Coordinates of the selected colors in xy chromaticity diagram were determined by spectrophotometers to define them in a standard coordinate system. Coordinates of the colors in r-g chromaticity diagram using a color machine vision system were also determined to use the colors in apple grading by the machine vision system. Grading Fuji apples using the machine vision system was performed and result of the grading was compared with Ending results of human vision and colorimeter. The comparison was performed with the same Fuji apple samples and showed 65% md 75% of same grades, respectively, as the grades determined by the machine vision system. Differences of fading performance between the compared three grading methods were explained as mainly because of the differences of observation area of the grading methods.

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신개념 머시닝센터의 신뢰성 향상 설계기술 (High Reliability Design for New Concept Machining Center)

  • 이찬홍;김양진
    • 한국정밀공학회지
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    • 제28권8호
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    • pp.894-903
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    • 2011
  • In this paper, the capability index is introduced in order to improve the reliability of new concept machine tools and the method to improve the machine accuracy from the analysis of cutting process, statistical methodology and influence factors are proposed. In addition, the rib structure of bed and column in machine tools is analyzed by using the thermal impact method in order to analogize the rib pattern which has the small thermal deformation under thermal boundary condition. In the analysis of column rib structure, thermal boundary condition is separated to heat conduction and heat transfer to appropriate real boundary condition. Finally, performance chart of bed and column rib structure is provided for designer to estimate each rib pattern and select rib structure appropriating to thermal condition.

사이클 타임 단축을 위한 로터리 트랜스퍼 머신의 인덱스 테이블 구동부 설계에 관한 연구 (A Study on the Design of Index Table Drive of Rotary Transfer Machines to Reduce Cycle Time)

  • 허기석;박용우;김동선;류성기
    • 한국기계가공학회지
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    • 제21권8호
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    • pp.60-65
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    • 2022
  • This study focuses on the driving control design of an index, which is a key component of a rotary transfer machine that is effective in improving productivity and reducing manufacturing costs by shortening cycle time. Although various index studies have been conducted on the rotation of workpieces such as general-purpose machine tools and tilting indices, the development of an index for rotary transfer machines for transfer is insufficient. The index consists of a body, table, hydraulic cylinder, motor, reducer, and curved coupling. The torque of the table for driving was selected, and the angular velocity and torque pattern were simulated using the motor manufacturer's program. The specifications of the drive motor were determined based on the selected torque.