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Kim, Kyung-Hwan;Yang, Young-Jin;Kim, Hyun-Bum;Yang, Hyung-Chan;Lim, Jong-Hwan;Choi, Kyung-Hyun
- Clean Technology
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- v.23 no.1
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- pp.90-94
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- 2017
These days much efforts are being dedicated to wind power as a potential source of renewable energy. To maintain effective and uniform generation of energy, defect preservation of turbine blade is essential because it directly takes effects on the efficiency of power generation. For the effective maintenance, early measurements of blade defects are very important. However, current technologies such as ultrasonic waves and thermal imaging inspection methods are not suitable because of long inspection time and non-real time inspection. To supplement the problems, the study introduced a method for real time defect monitoring of a blade surface based on surface wave technology. We examined the effect of various parameters such as micro-cracks and peelings on the propagation of surface wave.
https://doi.org/10.7464/ksct.2017.23.1.090 인용 PDF KSCI

Son, Chi-Soo;Kim, Kyung-Hwan;Lee, Yoon-Sun;Kim, Jae-Jun
- Proceedings of the Korean Institute Of Construction Engineering and Management
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- 2007.11a
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- pp.823-826
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- 2007
In the construction project, the efforts to use IT for efficient management and improvement of productivity is gradually increasing. For instance, the cite management model with 3D CAD and RFID shows one of efforts this model define and systematize a variety of data occurred each work unit(design, material and process management information, etc). However, so far, there has been the problem monitoring the site due to the an inaccurate data and low-practice which people should input in manual. In this paper, we would like to establish the data for real time monitoring system with data inputting automatically from RTPM system and the site, and analyze the relationship between tables consist of similar data through RED Diagram.
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김준홍;박돈희;이종일
- KSBB Journal
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- v.16 no.5
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- pp.459-465
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- 2001
The on-line monitoring technique for the concentrations fo glucose and starch by FIA(Flow Injection Analysis)system was studied. Glucose oxidase(GOD) and amyloglucosidase(AMG) were immboilized on VA-Fpoxy carrier and integrated into the FLA system. The pH, buffer flow rate and temperature were optimized and the effects of salts and metabolites dissolved in the sample on the activity of immobilized enzyme were investigated. GOD-FIA and AMG/GOD-FIA were applied for the on-line monitoring of the glucose and starch in a simulated bioprocess. The on-line measurements of glucose concentrations by GOD-FIA agreed with off-line data well and the AMG/GOD-FIA with single cartidge system took and advantage over the FIA system with two separated cartridges for the on-line monitoring of starch concentrations.
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Lee, Changkyu;Lee, In-Beum
- Korean Chemical Engineering Research
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- v.45 no.1
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- pp.87-92
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- 2007
Recently, developments of process monitoring system in order to detect and diagnose process abnormalities has got the spotlight in process systems engineering. Normal data obtained from processes provide available information of process characteristics to be used for modeling, monitoring, and control. Since modern chemical and environmental processes have high dimensionality, strong correlation, severe dynamics and nonlinearity, it is not easy to analyze a process through model-based approach. To overcome limitations of model-based approach, lots of system engineers and academic researchers have focused on statistical approach combined with multivariable analysis such as principal component analysis (PCA), partial least squares (PLS), and so on. Several multivariate analysis methods have been modified to apply it to a chemical process with specific characteristics such as dynamics, nonlinearity, and so on.This paper discusses about missing value estimation and sensor fault identification based on process variable reconstruction using dynamic PCA and canonical variate analysis.
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