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엄학용(Hak-Yong Eom),이기천(Gi-Chun Lee),장무성(Mu-Seong Chang),박종원(Jong-Won Park),이용범(Yong-Bum Lee) 한국신뢰성학회 2018 신뢰성응용연구 Vol.18 No.3
Purpose: In this study, the life of the motor is investigated by performing the accelerated life test with the brush wear of the industrial cleaner motor as the main failure mode. Methods: The accelerating stress factor of the accelerated life test is a voltage, which can increase the number of revolutions of the motor to accelerate the brush wear due to the friction between the brush and the commutator. Also, the accelerating stress level was determined after determining the maximum allowable level of the voltage through the preliminary test. Results: The motor failure time at each accelerating stress level was predicted by regression analysis with brush wear length as performance degradation data. The main failure mode, which is brush wear, of the motor was reproduced by this test. The shape parameter of the Weibull distribution was confirmed to be the same statistically at all accelerating stress levels by the likelihood ratio test. Conclusion: The life of the motor was investigated by performing the accelerated life test with the brush wear of the industrial cleaner motor as the main failure mode. Through the accelerating test method of the cleaner motor, various life expectancy and life expectancy of the acceleration factor are predicted.
실험 계획법에 의한 태양광 및 태양열 복합패널 성능 분석
박태국(Tae-Kook Park),장무성(Mu-Seong Chang),엄학용(Hak-Yong Eom),이기천(Ki-Chun Lee) 대한기계학회 2017 대한기계학회 춘추학술대회 Vol.2017 No.11
Demand and interest in renewable energy is increasing rapidly. Solar energy has become a new source of energy. Among the methods of using solar energy, a photovoltaic cell converts a solar light directly into electricity by using a photoelectric conversion element. It is a technology that uses solar heat by storing solar heat in the fluid by using a heat collector. In this study, The test equipment that can measure the performance of PV/T panel was developed. The DOE(Design of Experiments) was applied for the test plan. The DOE results were analyzed by ANOVA(analysis of variance) and regression equation was derived. We can predict heat output through the regression equation of PV/T panel. The difference between predicted and measured heat output was less than 9%.