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초음파의 형상인식법을 이용한 저널베어링의 마멸파손 검지
윤의성,손동구,안효석 대한기계학회 1993 대한기계학회논문집 Vol.17 No.8
Condition monitoring technology is of great importance for the maintenance of complex machinery in view of its early monitoring of the abnormal condition and the protection against failure. Several methods have been used for the detection of failure of journal bearings, one of the main elements of mechanical system. The methods most frequently used are vibration and temperature monitoring, but these are unable to monitor the wear conditions exactly. In this study, an ultrasonic measument method, one of the non-destructive testing methods, was introduced as the monitoring technology. Furtermore a pattem recognition method was applied to analyze the ultrasonic signal. The monitoring system using the pattern recognition method is composed of digital signal processing units and uses Hamming net algorithm for the recognition of ultrasonic waves. From the journal bearing wear test, the occurrence of adhesive wear of the white metal in rubbing contact with the shaft was exactly detected by this system, and the wear status of the journal bearing was monitored by measuring the wear thickness.
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일부 大學敎授와 敎職員의 心血關係疾患 危險要因 및 健康行態에 關한 硏究
윤의성,천병철,박미숙,김순덕,염용태 고려대학교 의과대학 1997 고려대 의대 잡지 Vol.34 No.3
We reviewed the health screening record(1996) of a university to compare cardiovascular risk factors and major health behavior of teaching staffs with those of other staffs. The reviewed cardiovascular risk factors were body mass index (BMI), blood pressure (BP), total cholesterol (TCH) and fasting blood sugar (FBS). Smoking, drinking, exercise and diet habits were cheked as major risk factors. We defined the obesty (BMI>25), hypertension (systolic BP 140 or diastolic BP 90 mmHg), hypercholesterolemia (TCH 230mg/dl), and hyperglucosemia (FBS 110mg/dl) , drinking group (alcohol intake 3-4 times a week and over 1 bottle of soju a time), smoking group (smoking over 10 cigarettes a day), non-exercising group(do excercise below 3-4 times a week, and below 30 min a times), unbalanced diet group(do favor salty and spicy food or do favor flesh food). The 1,341(81.7%) of 1,640 staffs were screened in 1996, the teaching staffs were 614(69.3% of 886 teaching staffs) and other staffs (mainly clerks and administrators) were 737(97.7% of 754). 41 (6.7%) of teaching staffs were female and 166(22.4%) of the other staffs were. Among the teaching staffs, there were no below age 30 but 11.5% of them were over 60; in case of the other staffs 11.3% and 2.0% were in each age group. We divided the teaching staffs into medical staffs and non-medical staffs and compare the risk factors of each group. The total number of screened medical staffs were 92(36.2%) of 254, and non-medical staffs were 522 (82.6%) of 632. The results were follows; 1) The frequency of hypertension of each group were significantly different (7.2% in teaching staff, 11.8% in other staffs) after adjusting sex, age, smoking, drinking, exercise, and diet habits by multiple logistic regression (p<0.001). Hyperglucosemia were founded 10.5% and 12.4% in each staffs and the difference were significant after adjusting age, sex and health habits(p=0.005). Teaching staffs had more hypercholesterolemic persons than other staffs(24.3%, 16.3% in each staffs, p=0.019). Obesity frequency was not significantly different. 2) The number of drinking group were 114(18.6%), 208(28.3%) in each staffs, and this difference were significantly different (CMH=38.295, p=0.001). The number of smoker were 140(22.8%) and 274(37.2%) (CMH=58.109, p=0.001). The frequency of non-exercising group and the frequency of unbalanced diet group were not significantly different. 3) The frequency of obesity were 39.1% and 30.9% in each medical and non-medical staffs (CMH=4.414, p=0.036), but this difference remains non-significant after adjusting by the health habits. The frequency of hyperglucosemia of medical staffs (17.4%) were significantly higher than non-medical staffs (9.2%) after adjusting age, sex and the health habits (p=0.0005). Other risk factors were not significantly different. 4) Medical staffs had more smoker(29.4%) than non-medical staffs(21.5%) (CMH=6.401, p=0.011) and more non-exercising persons (27.2%) then non-medical staffs(11.1%) (CMH=12.446, p=0.001). Other health behaviors are not significantly different.
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적혈구중 크롬농도를 이용한 6가크롬 노출의 생물학적 지표
윤의성,김광종 한국산업위생학회 2000 한국산업보건학회지 Vol.10 No.1
Objective - To evaluate the usefulness of chromium in erythrocytes as a biological marker of exposure to hexavalent chromium in chromate producers and chrome platers. Methods - Blood and urine samples were ramdomly obtained from chromate producers (n=34) and chrome platers (n=35), and non-exposed workers (n=75). chromium level in erythrocytes and plasma, and urine were measured. Different chromium exposure workers were assessed through measurements of airborne hexavalent chromium concentrations using a personal air sampler. Linear associations between variables were evaluated with correlation analysis. Results - The chromate producers had mean chromium levels in erythrocytes five fold as higher than the chrome platers, and fifteen fold higher than non-exposed group. Among the chromium exposed workers, airborne hexavalent chromium was positively and strongly correlated with in erythrocytes (r=0.689. p$lt;0.01), and erythrocytes chromium was inversely correlated with hematocrit (r=-0.441, p$lt;0.01), hemoglobin (r=-0.465, p$lt;0.01) and the number of red blood cells (r=-0.28, p$lt;0.05). Conclusions - In conclusion, this study suggests that chromium in erythrocytes is a good indicator of the chromium body burden caused by exposure to hexavalent chromium.
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