• 산업경영시스템학회지
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• 제20권44호
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• pp.475-483
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• 1997

Industrial safety management program consists of three part which is education, technology and control. The effectiveness of industrial safety control program rely on the ability of controlling hardware system, technology and software, training and management. How to design and develop the sharing machine fault and safety diagnosis system using expert system technique is presented on this paper.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.959-964
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• 1993

We developed fault diagnosis fuzzy expert system for ACS(Advanced Control System). ACS is a DCS(Distributed Control System) with advanced control algorithm fault tolerance capabilities, fault diagnosis functions, and so on. Fuzzy expert system developed for an ACS in this paper gives an operator alarm signal depending on the state of process value and manipulated value, and the cause of alarm in real time. Simple experiment result with several rules for the-fault-diagnosis of drum level loop in Seoul-Power-Plant.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.277-281
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• 1996

The roof crane system is used for transporting a variable load to a target position. At this time, the goal of crane system is transporting to a goal position as soon as possible with no rope oscillation. Generally crane is operated by expert's knowledge, but recently automatic control with high speed and rapid transportation is required. In this thesis we developed fuzzy controller of crane which has simplified expert's knowledge base for anti-swing and rapid tansportation to goal position.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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• pp.518-523
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• 1988

A Teaching and Operating Expert System (TOES) was designed in order to perform a task effectively which is inaccessible to man. Once an error occurs in the middle of the task operation, the automatic mode is converted into a manual mode. After recovering the error by the manual mode, the manual mode should be converted into the automatic mode. It was necessary to improve the manual mode in order to increase the availability of a man-robot system, a part of the human interface technique. Therefore, the Error Recovery Expert System must be constructed and developed.

• 산업경영시스템학회지
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• 제18권34호
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• pp.25-33
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• 1995

An expert system DESPRESS is developed to diagnose the fault of press by using CBR technique. In this paper, we describes the subjects for development of the system. DESPRESS deals compositly with perceptive symptoms, functional abnormalities, lamp signals and gage values, and then outputs fault parts and fault status for the press. The expert system can be used to prevent occurance of unexpected fault and minimize break times for failures.

• 대한전기학회논문지
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• 제43권4호
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• pp.564-569
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• 1994

This paper presents an expert system for the fault section estimation and fault diagnosis in power transmission systems, which also has random event generation function for the purpose of operator training or educational experiment. The expert system is developed using an artificial intelligence language.

• 산업경영시스템학회지
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• 제23권54호
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• pp.155-165
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• 2000

The fault diagnosis is a systematic and unified method to find based on the observing data resulting in noises. This paper presents the fault prediction and diagnosis using fuzzy expert system technique to manipulate the uncertainties efficiently in predictive perspective. We apply a fuzzy event tree analysis to the computer system, and build up the fault prediction and diagnosis using fuzzy expert system that predicts and diagnoses the error of the system in the advance of error.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 춘계학술대회 학술발표 논문집 제15권 제1호
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• 지능정보연구
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• 제1권2호
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• 대한기계학회논문집
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• 제11권6호
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• pp.1014-1025
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• 1987

본 연구에서는 기계요소중에서도 그 성능에 미치는 인자의 수가 많고 또 그 영향이 복잡하고 난해하며 아직도 경험적 요소가 수많이 남아있으면서도 공업적으로 매우 중요한 동력전달용 치차장치를 예로 들어 그 설계, 제작, 손상 및 트러블슈팅을 하기 위한 엑스퍼트시스템을 개발하려고 한다.