• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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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.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.54
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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.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.239-248
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• 2002

Purpose: The actual nursing processes have been performed by individual nurses' judgment without any supporting programs in Korea. It is not easy for novice nurses to make accurate diagnoses and provide proper nursing interventions to patients. Therefore, we propose a computerized program for nursing diagnosis and intervention linked to medical diagnosis. Method: For the program, we have linked standardized nursing diagnosis and intervention classifications with medical diagnosis. It is premised that the program is connected to order communication system(OCS) in hospitals. Result: We provide a nursing information system with standardized database for nursing diagnosis and interventions so that nurses can make more accurate diagnosis and perform more adequate interventions. Conclusion: It is expected that the program will help the nurses perform their nursing processes more efficiently. And we expect the system can be used in many hospitals efficiently in the future after pilot operations are completed in some hospitals.

• Journal of the Korean Society of Safety
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• v.21 no.3 s.75
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• pp.16-21
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• 2006

This paper presents a knowledge-based electrical fire cause diagnosis system using the fuzzy reasoning. The cause diagnosis of electrical fires may be approached either by studying electric facilities or by investigating cause using precision instruments at the fire site. However, cause diagnosis methods for electrical fires haven't been systematized yet. The system focused on database(DB) construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. The cause diagnosis system for the electrical fire was implemented with entity-relational DB systems using Access 2000, one of DB development tools. Visual Basic is used as a DB building tool. The inference to confirm fire causes is conducted on the knowledge-based by combined approach of a case-based and a rule-based reasoning. A case-based cause diagnosis is designed to match the newly occurred fire case with the past fire cases stored in a DB by a kind of pattern recognition. The rule-based cause diagnosis includes intelligent objects having fuzzy attributes and rules, and is used for handling knowledge about cause reasoning. A rule-based using a fuzzy reasoning has been adopted. To infer the results from fire signs, a fuzzy operation of Yager sum was adopted. The reasoning is conducted on the rule-based reasoning that a rule-based DB system built with many rules derived from the existing diagnosis methods and the expertise in fire investigation. The cause diagnosis system proposes the causes obtained from the diagnosis process and showed possibility of electrical fire causes.

• Journal of Biomedical Engineering Research
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• v.7 no.2
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• pp.147-150
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• 1986

This paper describes the implementation of a computerized radial pulse diagnosis by aids of a clinical expert. On this base, we composed of the radial pulse diagnosis system in korean traditional medicine. The system composed of a radial pulse wave detection system and a radial pulse diagnosis system. With a detection system, we detected Inyoung and Cheongu radial pulse wave and processed it. Then, we have got the characteristic parameters of radial pulse wave and also quantified that according to the method of Inyoung-Cheongu Comparison Radial Pulse Diagnosis. We defined the jugement standard of radial pulse diagnosis system and then we confirmed the possibility for realization of automatic radial pulse diagnosis in korean traditional medicine.

• Journal of Advanced Marine Engineering and Technology
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• v.30 no.2
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• pp.253-259
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• 2006

There is few study which automatically diagnoses the fault from ship's monitored data. The bigger control and monitoring system is. the more important fault diagnosis and maintenance is to reduce damage caused by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault from monitored data and is composed of fault detection knowledge base and fault diagnosis knowledge base. For all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem, To verify capability of fault detection, diagnosis and prediction, FMS(Fault Management System) is developed by C++. Simulation by FMS is carried out with population data set made by the log book data of 2 months duration from a large full container ship of H shipping company.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2005.06a
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• pp.251-256
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• 2005

There is few study which automatically diagnose the fault from ship's monitored signal. The bigger control and monitoring system is, the more important fault diagnosis and maintenance is to reduce damage brought forth by system fault. This paper proposes fault diagnosis system using a correlation analysis algorithm which is able to diagnose and forecast the fault and is composed to fault detection knowledge base and fault diagnosis knowledge base. For this all kinds of ship's engine room monitored data are classified with combustion subsystem, heat exchange subsystem and electric motor and pump subsystem by analyzing ship's operation data. To verifying capability of fault detection, diagnosis and prediction, Fault Management System(FMS) is developed by C++. Simulation experiment by FMS is carried out with population data set made by log book data of 2 months duration from a large full container ship of H shipping company.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.07a
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• pp.518-521
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• 2003

A new measurement system was developed by fault diagnosis system for traction motor using current signal analysis. The motor current signature analysis method is used for traction motor fault diagnosis. The diagnosis system program is constructed by artificial neural networks algorithm, those results from the program are used to train neural networks. The trained neural networks have the ability to compute adaptive results for non-trained inputs, and to calculate very fast due to original parallel structure of neural networks with high accuracy within destined tolerance. This system suggested that available test for checking, the probable extent of aging, and the rate of which aging is taking place.

• Journal of Physiology & Pathology in Korean Medicine
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• v.16 no.3
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• pp.528-531
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• 2002

In Traditional Oriental Medicine, there has been a growing needs for computerized diagnosis expert system, which can implement pre-diagnosis and correct the errors of practitioners. Therefore, we developed the expert system (KHU-PIPE : Kyung Hee University - Pattern Identification and Prescription Expert) for diagnosis and treatment. It has three characteristics as following. First. this system has the knowledge base which modified the standardized data designed by Chinese government during 1980s. Second, it provides the objective and standardized diagnosis as the results of pattern identification and their appropriate prescriptions for treatment. Third, it is applied to both LAN system and internet. Furthermore, it can be used as an educational methods for the practices of pattern identification and prescription, and provide the objective criteria for clinical studies and promote the Traditional Oriental Medicine as an evidence-based medicine.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.4
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• pp.873-878
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• 2004

An expert system for stroke diagnosis was designed in this study. The causes of stroke in the central nervous systems are very diverse, symptoms may not appear in the early stage, so diagnosis ran be difficult. Also, doctors who treats patients with stroke must have expert knowledge for the quick and correct impending diagnosis. Therefore, an expert system for assisting the impending diagnosis of stroke has needed to be developed. In addition, the diagnosis system can be used as an simulator for medical students who study neurology. In this study, and diagnosis expert system was developed. It serves a pathological data bus provided by an interface. An inference engine makes an impending diagnosis of stroke possible. We implemented the system using Windows2000 Server, IIS5.0 and ASP.