• Design & Manufacturing
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• 제16권4호
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• pp.1-6
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• 2022

Fine blanking is a press processing technology that can process most of the product thickness into a smooth surface with a single stroke. In this fine blanking process, shear is an essential step. The punches and dies used in the shear are subjected to impacts of tens to hundreds of gravitational accelerations, depending on the type and thickness of the material. Therefore, among the components of the fine blanking mold (dies), punches and dies are the parts with the shortest lifespan. In the actual production site, various types of tool damage occur such as wear of the tool as well as sudden punch breakage. In this study, machine learning algorithms were used to predict these problems in advance. The dataset used in this paper consisted of the signal of the vibration sensor installed in the tool and the measured burr size (tool wear). Various features were extracted so that artificial intelligence can learn effectively from signals. It was trained with 5 features with excellent distinguishing performance, and the SVM algorithm performance was the best among 33 learning models. As a result of the research, the vibration signal at the time of imminent tool replacement was matched with an accuracy of more than 85%. It is expected that the results of this research will solve problems such as tool damage due to accidental punch breakage at the production site, and increase in maintenance costs due to prediction errors in punch exchange cycles due to wear.

• 한국방사선학회논문지
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• 제17권7호
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• pp.1179-1187
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• 2023

최신 이동수단 발달과 관련하여 다양한 생체 신호 및 의료영상 측정용 의료기술 개발이 활발히 이루어 지고 있다. 특히, 인지/신경과학 분야에서 뇌파(electroencephalography, EEG) 측정의 중요성과 이동 중 차량에서의 정확한 뇌파 측정기술 개발은 매우 도전적인 분야이다. 본 연구에서는, 운전 중 뇌파를 이용한 기술에 대해 광범위하게 조사하고, 기술 연구의 동향을 분석하고자 하였다. 이를 위해, Scopus 데이터베이스를 활용하여 2000년 이후 진행된 뇌파 관련 연구를 탐색하였으며, 약 40여편의 논문을 선정하였다. 이를 통해 신호처리 기술, EEG 측정 디바이스 개발, 차량 내 운전자 상태 모니터링 기술의 현재 동향과 미래 방향을 조명하였다. 또한, 이를 위한 초소형 32채널 뇌파 측정 시스템을 설계해 보았으며, 간단히 이를 구현하여 뇌파 신호를 측정 분석함으로써 검토해 보았다. 본 연구는 운전 중 생체신호 측정 및 분석 기술이 자율주행 시대에 맞추어 운전자 케어와 건강 모니터링에 기여할 것으로 기대한다.

• 전자공학회논문지 IE
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• 제44권3호
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• pp.35-41
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• 2007

본 논문에서는 보상신호를 수반하는 인공지능 기반의 가상 로봇 학습 행위 모델을 제안하고 이 모델을 3가지 환경에 적용시킨 후에 보상 방법에 따른 가상 로봇의 학습 속도를 비교 검토하였다. 결과로서 환경이 다소 복잡하면 즉, 로봇 집단의 크기, 먹이 수, 장애물 수가 다소 많은 경우 학습 세대가 충분하다면 강화 보상 방법이 강화와 억제를 혼합한 보상 방법 보다 우월함을 알 수 있었다. 하지만 복잡하지 않은 환경에서는 혼합 보상 방법이 우수했다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.411-416
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• 2006

Fault detection and diagnosis is the most important technology in condition-based maintenance(CBM) system that usually begins from collecting signatures of running machines using multiple sensors for subsequent accurate analysis. With the quick development in industry, there is an increasing requirement of selecting special sensors that are cheap, robust, and easy-installation. This paper experimentally investigated performances of four types of sensors used in induction motors faults diagnosis, which are vibration, current, voltage and flux. In addition, diagnostic effects of five popular classifiers also were evaluated. First, the raw signals from the four types of sensors are collected at the same time. Then the features are calculated from collected signals. Next, these features are classified through five classifiers using artificial intelligence techniques. Finally, conclusions are given based on the experiment results.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 춘계학술대회 논문집
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• pp.269-273
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• 1997

In order to maker unmanned machining systems with satisfactory performances, it is necessary to incorporate appropriate condition monitoring systems in the machining workstations to provide the required intelligence of the expert. This paper deals with condition monitoring for chatter, tool wear and fracture during turning operation. To develop economic sensing and identification methods for turning processes, sound pressure measurement and digital signal processing technique were proposed. We suppressed chatter by stability control methodology, which was studied through manipulation of spindle speeds regarding to chatter frequencies. It was shown that tool wear and fracture were identified and to be estimated by using the wear indices. The validity of the proposed system was confirmed through the large number of cutting tests.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.619-621
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• 2004

This paper presents the rapid and accurate algorithm for fault discrimination in transmission lines. When faults occur in transmission lines, fault discrimination is very important. If high impedance faults occur in transmission lines, it cannot be detected by overcurrent relays. The method using current and voltage cannot discriminate high impedance fault. Because of this reason this paper uses voltage and zero sequence current, and the proposed algorithm uses fuzzy logic method. This algorithm uses voltage and zero sequence current per period in case of faults. Single line ground fault and three-phase fault can be detective using voltage. Two-line ground fault and line to line fault and high impedance can be detected using zero sequence current. To prove the performance of the algorithm, it test algorithm with signal obtained from ATPDraw simulation.

• 제어로봇시스템학회논문지
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• 제20권3호
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• pp.364-371
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• 2014

The purpose of this paper is to review recent developments in lower limb exoskeletons. The exoskeleton system is a human-robot cooperation system that enhances the performance of the wearer in various environments while the human operator is in charge of the position control, contextual perception, and motion signal generation through the robot's artificial intelligence. This system is in the form of a mechanical structure that is combined to the exterior of a human body to improve the muscular power of the wearer. This paper is followed by an overview of the development history of exoskeleton systems and their three main applications in military/industrial field, medical/rehabilitation field and social welfare field. Besides the key technologies in exoskeleton systems, the research is presented from several viewpoints of the exoskeleton mechanism, human-robot interface and human-robot cooperation control.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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• pp.575-580
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• 2004

The latest equipment automatic Intelligence of digital base done large size equipment appear in succession. That run by voltage electric current(mA, mV, ${\mu}A,\;{\mu}V$) that outline is microscopic of action of accuracy large size equipment of this digital base is bulk. Have received influence that is great in river electric field by installment that use computer. Most of domestic working voltage from service entrance extra-high voltage and working voltage of commercial frequency 60Hz working voltage 220V that use our country outside 1 country in interior of 22.900V for semiconductor use computer use digital installment of appliance as well as various smalls of digital base, middle, large size that safety is these fine voltage electric current that is not enough direct admonition hundred vast damage give can. Also, already act in surge circle and impulse transient phenomena such as several thousands, myriads, strong bit error more than billions time to digital fine electronic circuit by mistake use of using electric facility system of system electric power.

• 한국정보통신학회논문지
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• 제5권4호
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• pp.676-683
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• 2001

본 논문은 우리나라의 해상 재해가 매년 500건씩 발생되어 많은 인명과 재산피해가 나타나고 있다. 그러므로 해상 재해시 선박 통신의 역할은 많은 인명과 재산피해를 가져오는 원인을 제거하는 것이라 생각하고 종합적인 해상체제의 정보망 구축을 통하여 항해중인 모든 선박에 해상 정보를 제공하고자 한다.

• 정보처리학회논문지B
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• 제15B권3호
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• pp.237-244
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• 2008

본 논문에서는 온톨로지로 구축된 맥 정보를 이용하여 유비쿼터스 컴퓨팅 환경에서 의료 정보 시스템의 상황 인식 서비스를 할 수 있도록 하는 기반 구조를 제안한다. 피검사자의 웨어러블 신호, 온도, 습도 그리고 시간 등을 요소로 사용하는 진맥 인식을 통하여 얻어진 맥진 데이터를 온톨로지로 표현하고 이를 바탕으로 진료 서비스 시나리오를 작성하는 진단 서비스 추론 시스템을 설계 및 구현하였다.