• Nuclear Engineering and Technology
• /
• 제55권6호
• /
• pp.2096-2106
• /
• 2023

Rotating machinery is widely applied in important equipment of nuclear power plants (NPPs), such as pumps and valves. The research on intelligent fault diagnosis of rotating machinery is crucial to ensure the safe operation of related equipment in NPPs. However, in practical applications, data-driven fault diagnosis faces the problem of small and imbalanced samples, resulting in low model training efficiency and poor generalization performance. Therefore, a deep convolutional conditional generative adversarial network (DCCGAN) is constructed to mitigate the impact of imbalanced samples on fault diagnosis. First, a conditional generative adversarial model is designed based on convolutional neural networks to effectively augment imbalanced samples. The original sample features can be effectively extracted by the model based on conditional generative adversarial strategy and appropriate number of filters. In addition, high-quality generated samples are ensured through the visualization of model training process and samples features. Then, a deep convolutional neural network (DCNN) is designed to extract features of mixed samples and implement intelligent fault diagnosis. Finally, based on multi-fault experimental data of motor and bearing, the performance of DCCGAN model for data augmentation and intelligent fault diagnosis is verified. The proposed method effectively alleviates the problem of imbalanced samples, and shows its application value in intelligent fault diagnosis of actual NPPs.

• 한국콘텐츠학회논문지
• /
• 제10권10호
• /
• pp.54-67
• /
• 2010

종래에 헬스케어 영역에서 주로 사용해왔던 기계학습 기법을 U-health 서비스 분석단계에 적용하기에는 여러 가지 문제점들이 있다. 첫째, 아직 U-health 분야의 연구가 초기단계에 불과하여 기존의 기법들을 U-health 환경에 적용한 사례가 매우 부족하다. 둘째, 기계학습 기법은 학습시간이 많이 소요되기 때문에 실시간으로 질환을 관리해야만 하는 U-health 서비스 환경에는 적용하기 어렵다. 셋째, 그동안 다양한 기계 학습 기법들이 제시되었으나 질환 연관변수에 가중치를 부여할 수 있는 방법이 없어, 개인 맞춤형 질병예측 시스템으로 구축할 수 없는 한계를 가진다. 본 논문에서는 이러한 문제점들을 개선하고, U-health 서비스 시스템의 바이오 데이터 분석 과정을 프로세스로 해석하기 위하여, 개인 맞춤형 질병예측 기법인 PCADP를 제안하였다. 또한 이러한 PCADP를 바탕으로 U-health 데이터 및 서비스 명세의 의미 있는 표현을 위하여 U-health 온톨로지 프레임워크를 시멘틱스형으로 모델링하였다. 또한 PCADP 예측 기법은 U-health 환경에서 판별 기법이 갖추어야 할 조건인 유연성과 실시간성이 기존의 방식에 비하여 향상되었고, 판별과정의 모니터링 및 시스템의 지속적인 개선측면에서도 효율적으로 작용함을 확인하였다.

• 동의생리병리학회지
• /
• 제16권5호
• /
• pp.873-880
• /
• 2002

We study on the significance and application of the whole body form diagnosis. The results were as follows; The general form diagnosis is the method to observe the individual physiology and pathology. The phase of thinking, the current and activity of KI, the pattern of general form diagnosis have organic relations with the symptoms. The general form diagnosis is made up the principle of the imaging phase, therefore it must make synthetic union the differentiation of syndromes. The general form diagnosis of NAE GYEONG shows the typical phases and it is divided with the sight of YIN YANG and Five-Element. The general form diagnosis of SEOP GAE is practiced the theory of constitution's demonstration before the understanding of symptoms. Then JANG NAM tried the type of constitution's demonstration. The general form diagnosis of DONG MU becomes the diagnostic root of constitution's demonstration in four type constitution theory.

• 간호행정학회지
• /
• 제8권2호
• /
• pp.239-248
• /
• 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.

• 대한간호학회지
• /
• 제27권3호
• /
• pp.705-714
• /
• 1997

This study was conducted to test validity of related factors and characteristics of 98 Nursing Diagnosis identified in a previous study by the Korean Nurses Association. Data for this study was collected from 892 nurses in eight teaching hospitals located in Seoul using a cross sectional survey method. Each participating hospital was asked to produce at least 10 cases for every nursing diagnosis. There were 7,422 responses out of a possible 7,840. Out of the 7,422 responses 26 were discarded due to incompleteness. Data were analyzed using SAS. The result of the study shows that most of the related factors and characteristics for each of the 98 nursing diagnosis were ranked at more than 3.5 point out of 5 point Likert scale in terms of significance. Through this study the related factors and characteristics of the 98 nursing diagnosis identificance. Through this study the related factors and characteristics of the 98 nursing diagnosis identified through literature review were validated by experts in nursing diagnosis. These validated related factors and characteristics will be utilized for computerization of the nursing diagnosis process.

• 대한한의학원전학회지
• /
• 제35권1호
• /
• pp.33-42
• /
• 2022

Objectives : This paper is to find the meaning of Tan pulse in Qikooujiudamai Diagnosis, Methods : In terms of Qikooujiudamai, the position to diagnose the Intermittent Pulse is Kwan(關) position and the pulse is Tan(彈) pulse. To find the meaning of Tan pulse, the symptoms of Intermittent pulse were analyzed. Then the symptoms were analyzed in terms of both Qikooujiudamai Diagnosis and 28-pulse diagnosis to find the correlation. Results & Conclusions : The Tan pulse at Kwan position is related to Hyen(弦), Kin(緊), Hwal(滑), Dan(短) pulse in 28-pulse diagnosis. The symptom of disease of Intermittent pulse's diagnosis is mostly concluded to those 4 pulses. Qikooujiudamai is the diagnosis for acupucture treatment, but with 28-pulse diagnosis, it can be developed to usage of medicine.

• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2006년도 제37회 하계학술대회 논문집 전기설비
• /
• pp.33-34
• /
• 2006

When high-voltage motors are started, inrush current is rising as a serious power quality problem in terms of electric power line. So, this study is measured electrical data from induction motor's various starting method and is proposed the most appropriate starting method for induction motor at WTPs.

• 융합신호처리학회논문지
• /
• 제20권2호
• /
• pp.78-83
• /
• 2019

소리 기반 기계 고장 진단은 기계의 음향 방출 신호에서 비정상적인 소리를 자동으로 감지하는 것이다. 수학적 모델을 사용하는 기존의 방법은 기계 시스템의 복잡성과 잡음과 같은 비선형 요인이 존재하기 때문에 기계 고장 진단이 어려웠다. 따라서 기계 고장 진단의 문제를 패턴 인식 문제로 해결하고자 한다. 본 논문에서 DWT와 인공신경망 기반 패턴 인식 기법을 이용한 자동화 기계 고장 진단 기법을 제안한다. 기계의 결함을 효과적으로 탐지하기 위해 DWT를 이용해 대역별 분해 후 최상위 고주파 부대역과 최하위 저주파 부대역을 제외한 나머지 부대역의 PSD를 구하여 인공신경망 기반 분류기의 입력으로 사용한다. 그 결과 본 연구에서 제안한 방법은 효과적으로 결함을 탐지할 뿐만 아니라 소리 기반의 다양한 자동 진단 시스템에도 효과적으로 활용될 수 있음을 보여준다.

• 사상체질의학회지
• /
• 제19권2호
• /
• pp.53-72
• /
• 2007

1. Objectives In oriental medicine, there is no method to diagnosis Sasang constitution of school aged children. The objective diagnostic method is necessary to improve the health condition of children. The method must be able to reduce time and to correct subjective error. So the purposes of this study are developing the questionnaire to diagnosis Sasang constitution of school-aged children. 2. Methods The questionnaire consists of selected substance of ${\ulcorner}$Dongyisusebowon${\lrcorner}$, characteristic questionnaire of children and questionnaire for the Sasangin Diagnosis Questionnaire(for adult). Experts, element school children and a scholar on Korean literature revise the questionnaire. 3. Results and Conclusion Experts examed pre-questionnaires and selected the final questionnaries by CVI 0.8 at propriety of contents. Sasangin Diagnosis Questionnaire (SDQ) for Child consists of 84 questions (24 questions for child, 48 questions and 12 questions for doctor).

• 기본간호학회지
• /
• 제10권2호
• /
• pp.145-153
• /
• 2003

Purpose: Related factors for 24 nursing diagnoses frequently used in the emergency care unit were validated in this study. Method: A convenience sample of 65 registered nurses who had worked for 2 years or more in emergency care units and received instruction on nursing diagnosis was used for the study. The classification of nursing diagnoses was based on NANDA (1996) and validation, on Fehring (1987)'s DCV model. Result: Differences were found between emergency and general care units for related factors for nursing diagnosis. Newly reported related factors were not found for emergency care units. Conclusion: It is helpful for nurses who work in emergency care to be able to apply the nursing diagnosis validated in this study. These findings can be used as the database to provide a nursing diagnosis system appropriate to improving the emergency nursing practice.