• Title/Summary/Keyword: diagnosis

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Integrated Fault Diagnosis Algorithm for Driving Motor of In-wheel Independent Drive Electric Vehicle (인휠 독립 구동 전기 자동차의 구동 모터 통합 고장 진단 알고리즘)

  • Jeon, Namju;Lee, Hyeongcheol
    • Transactions of the Korean Society of Automotive Engineers
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    • v.24 no.1
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    • pp.99-111
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    • 2016
  • This paper presents an integrated fault diagnosis algorithm for driving motor of In-wheel independent drive electric vehicle. Especially, this paper proposes a method that integrated the high level fault diagnosis and the low level fault diagnosis in order to improve a robustness and performance of the fault diagnosis system. The high level fault diagnosis is performed using the vehicle dynamics analysis and the low level fault diagnosis is carried using the motor system analysis. The validity of the high level fault diagnosis algorithms was verified through $Carsim^{(R)}$ and MATLAB/$Simulink^{(R)}$ cosimulation and the low level fault diagnosis's validity was shown by applying it to a MATLAB/$Simulink^{(R)}$ interior permanent magnet synchronous motor control system. Finally, this paper presents a fault diagnosis strategy by combining the high level fault diagnosis and the low level fault diagnosis.

A basic study on the Qi-diagnosis(氣診) using method of diagnosis and treatment (임상 활용을 위한 기진(氣診)에 대한 기초적인 연구)

  • Cho, Dae Geun;Kim, Gyeong Cheol
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.22 no.1
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    • pp.45-56
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    • 2018
  • The authors are using Qi-diagnosis (integrated diagnosis by bio-energy) that is a method of diagnosis and treatment. We applied Qi-diagnosis to the main study to lay the foundation and framework for research and education about the Korean Medicine. The authors try to describe systemically and specifically the Qi-diagnosis that the authors are using in clinical diagnosis ane treatment so that anyone can use it. The authors have been able to grasp the flow of human bio-energy through years of training. It has had many effects by applying the Qi-diagnosis to patients. The steps of the bio-energy flow have become objective. And the authors have been applied to acupuncture, herbal medicine, moxibustion, bruising treatment and anthrax anesthesia in clinical through the Qi-diagnosis. Also, it is applied to the life management of patients. It is applied to arts such as music therapy and art therapy. The deeper the depth of the Qi-diagnosis, the greater the opportunity to utilize the Qi-diagnosis. The Qi-diagnosis is the origin of the korean medicine. It was able to make diagnosis and treatment correct and to establish clues that the medical problems would be solved through the Qi-diagnosis. In order to do so, the diagnostician must be able to feel the auricular flow of the body accurately and objectively. In addition, he must have a comprehensive understanding of the overall framework of medicine. As a result, diagnosis and treatment of the patient as well as general problems of the patient can be identified and advised, so comprehensive treatment is possible. And it is not only a specific person can do it, but it is a diagnostic method that anyone can take if they take the basic steps step by step.

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A Study of ECG Based Cardiac Diseases Diagnoses (심전도 신호를 이용한 심장 질환 진단에 관한 연구)

  • Kim, Hyun-Dong;Yoon, Jae-Bok;Kim, Hyun-Dong;Kim, Tae-Seon
    • Proceedings of the KIEE Conference
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    • pp.328-330
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    • 2004
  • In this paper, ECG based cardiac disease diagnosis models are developed. Conventionally, ECG monitoring equipments can only measure and store ECG signals and they always require medical doctor's diagnosis actions which are not desirable for continuous ambulatory monitoring and diagnosis healthcare systems. In this paper, two kinds of neural based self cardiac disease diagnosis engines are developed and tested for four kinds of diseases, sinus bradycardia, sinus tachycardia, left bundle branch block and right bundle branch block. For diagnosis engines, error backpropagation neural network (BP) and probabilistic neural network (PNN) were applied. Five signal features including heart rate, QRS interval, PR interval, QT interval, and T wave types were selected for diagnosis characteristics. To show the validity of proposed diagnosis engine, MIT-BIH database were used to test. Test results showed that BP based diagnosis engine has 71% of diagnosis accuracy which is superior to accuracy of PNN based diagnosis engine. However, PNN based diagnosis engine showed superior diagnosis accuracy for complex-disease diagnoses than BP based diagnosis engine.

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Adaptive Fault Diagnosis using Syndrome Analysis for Hypercube Network

  • Kim Jang-Hwan;Rhee Chung-Sei
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.8B
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    • pp.701-706
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    • 2006
  • System-level diagnosis plays an important technique for fault detection in multi-processor systems. Efficient diagnosis is very important for real time systems as well as multiprocessor systems. Feng(1) proposed two adaptive diagnosis algorithms HADA and IHADA for hypercube system. The diagnosis cost, measured by diagnosis time and the number of test links, depends on the number and location of the faults. In this paper, we propose an adaptive diagnosis algorithm using the syndrome analysis. This removes unnecessary overhead generated in HADA and IHADA algorithm sand give a better performance compared to Feng's Method.

Medical Diagnosis Inference using Neural Network and Discriminant Analyses

  • Chang, Duk-Joon;Kwon, Yong-Man
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.2
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    • pp.511-518
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    • 2008
  • Medical diagnosis systems have been developed to make the knowledge and expertise of human experts more widely available, therefore achieving high-quality diagnosis. In this study, in order to support the diagnosis by the medical diagnosis system, we have preformed medical diagnosis inference three times: first by a neural network with the backpropagation algorithm, secondly by a discriminant analysis with all of the variables, and thirdly by a discriminant analysis with the selected variables. A discussion on comparison of these three methods has been provided.

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A Comparative Study according to Diagnostic Time on Meningitis (무균성 뇌막염에서 증상발현부터 진단까지 걸린 시간에 따른 시기별 유병기간의 검토)

  • Kim, Tag Soo;Hur, Ji Yeon;Park, Young Hee;Jung, Min Goo;Kim, Sung Won
    • Pediatric Infection and Vaccine
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    • v.3 no.2
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    • pp.168-174
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    • 1996
  • Purpose : Aseptic meningitis is relatively frequent in children and caused mostly by enterovirus. The aim of the present study was to determine the effect of early diagnosis (spinal tapping) on symptom duration of childhood aseptic meningitis. Methods : One hundred fifty-three children who were hospitalized due to aseptic menigitis in the Department of Pediatrics St. Benedict Hospital from July 1996 through October 1996 were included in this study. Patients were divided to two groups according to the duration from first symptom onset to diagnosis. Early diagnosis group is diagnosed within 3 days from first symptom onset. Later diagnosis group is diagnosed after 4 days from first symptom onset. Results : 1) The average age of these patients was 4.3 years old in early diagnosis group and 4.1 years old in later diagnosis group. The sex ratio(male: female) was 2.04:1 in early diagnosis group and 2.5:1 in later diagnosis group. 2) The mean duration of diagnosis of this study was 2.04 day in early diagnosis group and 5.12 day in later diagnosis group. 3) The percentage of symptom and sign of the early diagnosis group were fever(100%), headache(88.4%), vomiting(86.9%), abdominal pain(39%), neck stiffness(36.2%), skin rash(18.8%), diarrhea(16.9%) and that of later diagosis group were fever(100%), headache(83.3), vomiting(80.9%), abdominal pain(47.6%), neck stiffness(41.6%), skin rash(29.7%), diarrhea(16.6%). 4) Initial CSF findings revealed leukocyte $146.8{\pm}386.3/mm^3$ with PMNL 38%, protein 32.47mg/dl, sugar 66.23mg/dl in early diagnosis group and leukocyte $458.1{\pm}663.2/mm^3$, protein 31.22mg/dl, sugar 64.21 mg/dl in later diagnosis group. 5) There was no statistically significant differance in the peripheral blood findings between early diagnosis group and later diagnosis group. 6) The duration of disappearance of symptom after spinal tap were 2.3 days in early diagnosis group and 2.24 days in later diagnosis group. Total symptom duration was 4.34 days in early diagnosis group and 7.36 days in later diagnosis group. Conclusions : Our results demonstrate that early diagnosis(early spinal tap) shortened duration of clinical symptoms.

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A Study of the Pulse Diagnosis Research Trend in China II: Clinical Application (중국의 맥상파(脈象波) 연구동향 II: 임상활용 분야)

  • Shin, Sang-Hoon;Kim, Ki-Wang;Rhim, Hye-Whon;Park, Young-Jae;Park, Young-Bae
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.9 no.1
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    • pp.47-58
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    • 2005
  • Background and purpose: The purpose of this study is to review the recent 10 year Chinese achievements on the objectification of traditional pulse diagnosis in clinical area. Methods: From the China Journal Full Text Database (中國學術期刊全文數据庫) we searched papers on pulse diagnosis by the keyword 'Maizhen'(脈診) Resulls: The researches are summarized into four parts; (1) the researches on the normal pulse in the physiological state (2) the clinical researches of pulse diagnosis on the symptom and disease diagnosis (3) the clinical researches of pulse diagnosis on the acupuncture treatment (4) the application of pulse diagnosis on the functional evaluation of the athlete. Conclusion: The undoubted principles of the traditional pulse diagnosis are evaluated by the objective clinical researches. And the researchers are trying to find a new application area over the traditional one.

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Study on Clinical Establish Direction for Oriental Medicine Diagnosis Methods (한방진단방법에 대한 임상적 설정방향연구)

  • Kim Kwang-Joong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.20 no.1
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    • pp.245-256
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    • 2006
  • This research sought to survey oriental medicine diagnosis methods currently practiced, analyze their advantages and disadvantages, and work out clinical establish direction for oriental medicine diagnosis methods. Oriental medicine diagnosis methods currently practiced in the related circles are categorized into traditional Korean diagnosis methods and holistic auxiliary diagnosis methods. The traditional Korean diagnosis method focuses on treating diseases of traditional Korean health management methods which are based on the bodily self-viability capabilities according to the Orient's viewpoint of health. Under the diagnosis method, based on the cognition of maximizing the state of the bodily self-viability capabilities together with the characteristics of diseases, symptoms, pulse, first face-to-face patient observation, physical constitution, and life principle are managed according to form, color, pulse and symptom which divide the bodily viability capacities into inherent and acquired elements amid both elements interacting.

The Defect Diagnosis Process Model Utilizing BPMN Modeling Method in the Apartment Housing (BPMN 모델링 방식을 활용한 공동주택 하자진단 업무프로세스 모델)

  • Jung, Ryeo-Won;Kim, Kyung-Hwan;Lee, Jeong-Seok;Kim, Jae-Jun
    • Journal of the Korean housing association
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    • v.26 no.2
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    • pp.67-79
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    • 2015
  • As the Korean construction market in the apartment housing has changed to a housing consumer focused market, interest and importance on efficient use and management on existing buildings has increased rather than demand for new buildings. Interest of housing consumers on apartment house quality has increased in this market paradigm, and this spontaneously is connected to quality flaw related defect disputes and lawsuits that the importance of defect diagnosis has continuously increased. This defect diagnosis is directly connected to maintenance charges in defect dispute and lawsuit processes that rather objective and highly credible progress of duty is required. However, most defect diagnosis firms today that progress defect diagnosis are using different diagnosis methods and depend on the experience of experienced professionals that there is no standardized defect diagnosis process. Therefore, the purpose of this study is to provide common defect diagnosis process model for defect diagnosis firms utilizing the BPMN (Business Process Modeling Notation) modeling method. It is expected that this will contribute to professional and reliable task performances of concerned defect diagnosis workers. Furthermore, it is expected that design lawsuit damage will be substantially reduced by standardizing defect diagnosis processes.

Development of Multiple Fault Diagnosis Methods for Intelligence Maintenance System (지적보전시스템의 실시간 다중고장진단 기법 개발)

  • Bae, Yong-Hwan
    • Journal of the Korean Society of Safety
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    • v.19 no.1
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    • pp.23-30
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    • 2004
  • Modern production systems are very complex by request of automation, and failure modes that occur in thisautomatic system are very various and complex. The efficient fault diagnosis for these complex systems is essential for productivity loss prevention and cost saving. Traditional fault diagnostic system which perforns sequential fault diagnosis can cause catastrophic failure during diagnosis when fault propagation is very fast. This paper describes the Real-time Intelligent Multiple Fault Diagnosis System (RIMFDS). RIMFDS assesses current machine condition by using sensor signals. This system deals with multiple fault diagnosis, comprising of two main parts. One is a personal computer for remote signal generation and transmission and the other is a host system for multiple fault diagnosis. The signal generator generates various faulty signals and image information and sends them to the host. The host has various modules and agents for efficient multiple fault diagnosis. A SUN workstation is used as a host for multiple fault modules and agents for efficient multiple fault diagnosis. A SUN workstation is used as a host for multiple fault diagnosis and graphic representation of the results. RIMFDS diagnoses multiple faults with fast fault propagation and complex physical phenomenon. The new system based on multiprocessing diagnoses by using Hierarchical Artificial Neural Network (HANN).