• Title/Summary/Keyword: Abnormal Status

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Development of Plant Abnormal Status Response System by Multi-Alarm Pattern in Main Control Room (원자력발전소 주제어실 다중 경보 패턴에 의한 경보/비정상 대응 체계 개발)

  • Choi, Sun Yeong;Jung, Wondea
    • Journal of the Korean Society of Safety
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    • v.29 no.3
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    • pp.129-135
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    • 2014
  • The number of abnormal operation procedures (AOPs) for mitigating a plant abnormal status amounts to about one hundreds for the most of 1000MWe optimized power plant (OPR1000) and it is expected that the number of AOPs would be increased to cope with an abnormal status occurred newly. However, it is not well organized for operators to select a proper AOP from alarms occurred in main control room (MCR) during a plant abnormal status. It may be a burden to operators since the selection of AOP to respond an abnormal status is authorized by operators. When multiple alarms occur in MCR, it would take more time to respond them than a single alarm. To reduce the efforts, various MCR operation support systems have been developed. The purpose of this study was to develop a multi-alarm pattern card to select an appropriate AOP effectively when multiple alarms occurs in a single upper layout (UL) of MCR. It can be applied for an operation support tool as well as an education tool.

Abnormal Diagnostics of Vibration System using SVM (SVM기법을 이용한 진동계의 고장진단에 관한 연구)

  • Ko, Kwang-Won;Oh, Yong-Sul;Jung, Qeun-Young;Heo, Hoon
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2003.05a
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    • pp.932-937
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    • 2003
  • When oil pressure of damper is lost or relative stiffness of spring drops in vibration system, it can be fatally dangerous situation. A fault diagnosis method for vibration system using Support Vector Machine(SVM)is suggested in the paper. SVM is used to classify input data or applied to function regression. System status can be classified by judging input data based on optimal separable hyperplane obtained using SVM which learns normal and abnormal status. It is learned from the relationship of system state variables in term of spring, mass and damper. Normal and abnormal status are learned using phase plane as in put space, then the learned SVM is used to construct algorithm to predict the system status quantitatively

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Cross Correlation based Signal Classification for Monitoring System of Abnormal Respiratory Status (상관관계 기반 신호 분류를 이용한 비정상 호흡 상태 모니터링 시스템)

  • Lee, Deokwoo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.7-13
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    • 2020
  • This paper focuses on detecting abnormal patterns of respiration of humans. In this study, a contact-based device was used to acquire both normal and abnormal respiration signals. To this end, this paper reports the development of a monitoring system to investigate the respiratory status of humans in a normal environment. This work aims to classify the respiratory status, i.e., normal and abnormal status, quantitatively. The respiration signal is acquired using a contact-based medical device (BIOBPAC), and noise reduction is carried out before classifying the respiratory status. To reduce noise, a mixed filter that combines the Savitzky-Golay filter and Median filter is applied to the acquired respiration signals. The inter-class distance is maximized, and the intra-class distance is minimized. The proposed algorithm is straightforward and can be applied to a practical environment. In addition, the experimental results are provided to substantiate the proposed approach.

A Development of Smart Sensing Device for Monitoring Abnormal Vibration of Industrial Equipment (산업 설비의 이상 진동 감지를 위한 스마트 센싱 디바이스의 개발)

  • Ryu, Dae-Hyun;Choi, Tae-Wan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.361-366
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    • 2017
  • The abnormal state of the main equipment across the industry is accompanied by abnormal rise of temperature, change in the vibration and noise. In this study, we developed a smart sensing module equipped with BLE, and developed a smart sensing device that can detect abnormal vibration due to its own flaws of the equipment by interfacing with an MEMS-based acceleration sensor. The smart sensing device developed in this study can be easily installed in a small space and can monitor the vibration status of the equipment in real time, and can easily inform the user of the steady state and the problem occurrence status with array LED display.

Clinical & Nutritional Assessments of Long-term Survivors of Biliary Atresia (수술후 10년 이상 장기 생존 담도폐쇄증 환장에서의 영양상태 및 임상적 특성에 관한 분석)

  • Chun, Yong-Soon;Kim, Woo-Ki
    • Advances in pediatric surgery
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    • v.4 no.2
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    • pp.125-130
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    • 1998
  • To assess the clinical and nutritional status of long-term survivors of biliary atresia, history taking, medical record review, physical examination (height, weight, MAC, TSF), blood tests (LFT, prothrombin time, platelet count, prealbumin, calcium) and liver needle biopsy were performed in 12 patients in whom Kasai procedure were performed more than 10 years ago at Department of Pediatric Surgery in Seoul National University Hospital. None were below the 5th percentile in height and weight. TSF was above the 75th percentile in all patients and showed good subcutaneous fat deposition. MAC was above the 5th percentile in all patients. Serum prealbumin level was abnormal in 2 patients with abnormal liver function and revealed visceral protein malnutrition. Serum calcium level was decreased below normal range in 4 patients with abnormal liver function. One patient had mild ascites. Five patients had abnormal liver function and 7 patients showed clinical manifestation of portal hypertension. Liver needle biopsy was performed in 5 patients and no cirrhotic change was observed. Although some patients who have survived for more than 10 years after Kasai procedure developed protein malnutrition and vitamin deficiencies, growth and development and nutritional status were generally satisfactory. Five patients(42%) showed normal liver function and no portal hypertension. In conclusion, Kasai procedure is satisfactory as a primary treatment in biliary atresia but significant portion of long-term survivors had abnormal liver function and portal hypertension. Continuous and careful follow-up is necessary to determine when liver transplantation may be indicated.

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Online Identification for Normal and Abnormal Status of Water Quality on Ocean USN (해양 USN 환경에서 수질환경의 온라인 정상·비정상 상태 구분)

  • Jeoung, Sin-Chul;Ceong, Hee-Taek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.4
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    • pp.905-915
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    • 2012
  • This paper suggests the online method to identify normal and abnormal state of water quality on the ocean USN. To define normal of the ocean water quality, we utilize the negative selection algorithm of artificial immunity system which has self and nonself identification characteristics. To distinguish abnormal status, normal state set of the ocean water quality needs to be defined. For this purpose, we generate normal state set base on mutations of each data and mutation of the data as logical product. This mutated normal (or self) sets used to identify abnormal status of the water quality. We represent the experimental result about mutated self set with the Gaussian function. Through setting the method on the ocean sensor logger, we can monitor whether the ocean water quality is normal or abnormal state by online.

A Cross-sectional Study between Herbal Medicine Intake and Abnormal Liver Function Test Results (간기능검사이상의 위험요인으로써 한약복용영향에 관한 단면연구)

  • Park, Hae-Mo;Shin, Heon-Tae;Park, Cheol-Soo;Lee, Sun-Dong
    • Journal of Society of Preventive Korean Medicine
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    • v.12 no.2
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    • pp.61-72
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    • 2008
  • Objectives : The aim of this study was to evaluate effects of herbal medicine and other associated factors for abnormal liver function tests(especially total bilirubin, AST, ALT, and ${\gamma}$GT) levels in outpatients at an oriental medical clinic. Methods : A cross-sectional study based on clinical records was conducted on 504 patients at one Oriental medical clinic in Seoul, Korea. They were tested a liver function tests for screening and 497 patients ranging from the age of 4 to 74 were chosen for the study. Patients with basal liver disease or DM were excluded during the screening process. Patients were classified into case(abnormal) and control(normal) groups by normal liver function test references. Results and Conclusions : In this study, Significant correlations for abnormal total bilirubin levels was age, for abnormal AST was gender, for abnormal ALT were gender, smoking, marriage status, and job, for abnormal ${\gamma}$GT were age, gender, obesity, alcohol, smoking, marriage status, and job using the Chi-square test(p<0.05). There was no significant correlations for abnormal LFTs by using herbal medication history, and intake duration. After controlling other covariates, logistic regression analysis showed that the significant associated factors for abnormal total bilirubin levels were age(odds ratio[OR]=0.87, 95% confidence intervals [CI]=0.87-0.99). For abnormal AST levels was obesity(OR=2.45, CI=1.2-4.9), for abnormal ALT levels were age(OR=1.01, CI=0.99-1.03), male gender(OR=3.31, CI=1.62-6.76), and obesity(OR=3.71 CI=2.28-6.08). For abnormal ${\gamma}$GT levels were male gender(OR=4.83 CI=1.34-17.43), obesity(OR=3.29, CI=1.74-6.22), alcohol (OR=2.51, CI=1.19-5.28), and smoking(OR=2.29, CI=1.16-4.50). Herbal medication history was not as a risk factor for all abnormal liver function tests. Therefore, people who are male, obese, alcohol drinker and smoker will have higher liver function test levels. But intake of herbal medication or the duration of intake may not be the risk factor for abnormal liver function test results.

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Clustering-based Monitoring and Fault detection in Hot Strip Roughing Mill (군집기반 열간조압연설비 상태모니터링과 진단)

  • SEO, MYUNG-KYO;YUN, WON YOUNG
    • Journal of Korean Society for Quality Management
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    • v.45 no.1
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    • pp.25-38
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    • 2017
  • Purpose: Hot strip rolling mill consists of a lot of mechanical and electrical units. In condition monitoring and diagnosis phase, various units could be failed with unknown reasons. In this study, we propose an effective method to detect early the units with abnormal status to minimize system downtime. Methods: The early warning problem with various units is defined. K-means and PAM algorithm with Euclidean and Manhattan distances were performed to detect the abnormal status. In addition, an performance of the proposed algorithm is investigated by field data analysis. Results: PAM with Manhattan distance(PAM_ManD) showed better results than K-means algorithm with Euclidean distance(K-means_ED). In addition, we could know from multivariate field data analysis that the system reliability of hot strip rolling mill can be increased by detecting early abnormal status. Conclusion: In this paper, clustering-based monitoring and fault detection algorithm using Manhattan distance is proposed. Experiments are performed to study the benefit of the PAM with Manhattan distance against the K-means with Euclidean distance.

Status Diagnosis of Pump and Motor Applying K-Nearest Neighbors (K-최근접 이웃 알고리즘을 적용한 펌프와 모터의 상태 진단)

  • Kim, Nam-Jin;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1249-1256
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    • 2018
  • Recently the research on artificial intelligence is actively processing in the fields of diagnosis and prediction. In this paper, we acquire the data of electrical current, revolution per minute (RPM) and vibration that is occurred in the motor and pump where hey are installed in the industrial fields. We train the acquired data by using the k-nearest neighbors. Also, we propose the status diagnosis methods that judges normal and abnormal status of motor and pump by using the trained data. As a proposed result, we confirm that normal status and abnormal status are well judged.

A Study on Abdomen Ultrasonography Classified by Particular Disease Practiced in Health Promotion Center of a University Hospital (한 대학병원 종합건강진단센터에서 시행한 복부 초음파검사의 유소견 연구)

  • Kim, Nam-Hee;Choi, Jong-Hak
    • Journal of radiological science and technology
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    • v.24 no.1
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    • pp.33-41
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    • 2001
  • This study is to get preliminary data for an effectiveness evaluation of abdominal examination and improvement of it. Abnormal cases of abdominal ultrasonography are classified by sex, frequency, diagnosis and age. 4,924 examinees were included at a university hospital of health promotion center from January to December in 1999. The results are as follows. 1. According to the distribution of sex, there are more male patients(55.0%) than females patients(48.0%). For men, 40's showed the highest percentage among examinees. For women, 50's were the highest. 2. The reason that they visited the health promotion center was that 'they wanted to check their health status'. This answers were reported the highest(59.3%). 3. Patients that had abnormal cases of abdominal ultrasonography were 48.3%. Liver, kidney, gallbladder showed the highest percentage of abnormal cases in order of organs. Additionally, abnormal cases were discovered in liver cases. 4. According to the frequency of abnormal cases among examinees, the slight fatty liver were the highest regardless of sex. Men had the slight fatty liver, kidney simple cyst, liver calcification and liver simple cyst in order of abnormal cases. Women showed the slight fatty liver kidney simple cyst, kidney calcification, liver simple cyst, and blood vessel tumor in order of abnormal cases. 5. For the abnormal cases of liver by sex and age, the 50's reported the highest number of abnormal cases in men(299 patients). In addition, 60's had the highest of disease rata 47.8%. For women, 50's reported the highest number of abnormal cases(361 patients). Over 70's patients had the highest of disease rata 52.6%. For kidney, men and women showed the highest number of abnormal cases -62 vs 44 respectively. Over 70's patients had the highest percentage of disease rata-23.2% vs 14.0% respectively. For gallbladder, the number of abnormal cases were the most in men's 60's (31 patients) and in women's in the same age group (32patients). Disease showed the highest percentage in men's 60's(7.6%) and in women's 70's (14.0%). 6. According to malignant tumor, 17patients were liver cancer, 2patients stomach ca and 1pt kidney cancer. 7. The relationship between the malignant tumor and the examination motive was that 'they wanted to check their health status(41.0%)' and 'regular checkup (24.0%)'.

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