• Nuclear Engineering and Technology
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• v.54 no.12
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• pp.4679-4683
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• 2022

Environmental radiation monitoring is required to protect from the effects of radiation in industrial fields such as nuclear power plant (NPP) monitoring, and various gamma camera systems are being developed. The purpose of this study is to optimize parameters of a diverging collimator composed of pure tungsten for compactness and lightness through Monte Carlo simulation. We conducted the performance evaluation based on spatial resolution and signal-to-noise ratio for point source and obtained gamma images and profiles. As a result, optimization was determined at a collimator height of 60.0 mm, a hole size of 1.5 mm, and a septal thickness of 1.0 mm. Also, the full-width-at-half-maximum was 3.5 mm and the signal-to-noise ratio was 53.5. This study proposes a compact 45° diverging collimator structure that can quickly and accurately identify the location of the source for radiation monitoring.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.2
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• pp.184-192
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• 1995

This study was performed to evaluate methods for determination of airbone mercury in industrial environments. Three methods, such as Hopcalite method, passive monitoring method and Jerome method were evaluated at two (2) fluorescent lamp manufacturing Plants in Korea during a period from May 24 to May 31, 1994 and the result are as follows: 1. The average were concentrations of airbone mercury were $26{\mu}g/m^3$ by Hopcalite method, $25{\mu}g/m^3$ by passive monitoring method, and $38{\mu}g/m^3$ by the Jerome method, respectively, which were below the permissible exposure limit of $50{\mu}g/m^3$ established by both the Korean Ministry of Labor and ACGIH. However, 12 out of 49 cases(24.4%) in plant A and 2 out of 31 cases(6.5%) in plant B were in excess of the standard. 2. The relationship between the results by Hopcalite method and the passive monitoring method was significant(r=0.892). 3. The variation among three results by eath of three methods were different by process. The highest variation was determined at quality control process("process b") which invoved in large variation of concentrations. 4. When short term high concentrations were produced, the Hopcalite method was more efficient then the passive method.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.2
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• pp.98-103
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• 2010

In this paper, imaging processing study obtained from CCD image and thermography image was performed in order to treat easily thermographic data without any risks of personnels who conduct the condition monitoring for the abnormal or failure status occurrable in industrial power plants. This imaging processing is also applicable to the predictive maintenance. For confirming the broad monitoring, a methodology producting single image from the panorama technique was developed no matter how many cameras are employed, including fusion method for discrete configuration for the target. As results, image fusion from quick realtime processing was obtained and it was possible to save time to track the location monitoring in matching the images between CCTV and thermography.

• Proceedings of the KIPE Conference
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• 2008.06a
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• pp.640-642
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• 2008

This paper presents the design, development and performance of a 250kW power conditioning system(PCS) for large scale photovoltaic power plant. The PV inverter consists of a three phase IGBT stack, L-C filter, transformer and HMI unit for monitoring. To verify the performance of the PV inverter a testing facility was designed and constructed to simulate the characteristics of the solar cell and grid.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.4
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• pp.393-399
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• 2009

Historically, industrial condition monitoring has been performed by costly hard-wired sensors or infrequent checks by maintenance personnel equipped with hand held monitoring equipment. Self- powered wireless condition monitoring systems provides on-line monitoring of critical plant and machinery providing major operating cost benefits. A vibration energy harvester(VEH) is a device that converts kinetic energy occurred by machine vibration into useable electrical energy. Using VEHs to power wireless monitoring systems can yield significant benefits: increased reliability, lower life time costs and no battery disposal issues, etc. This paper proposes the novel prototype design and manufacturing of a VEH that can eliminate the effect by failed batteries.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.45-54
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• 2021

Objectives: This study evaluated the odor around an industrial complex area (#1-#5) and the operational effects of the Odor Monitoring System in Seo-gu in Daegu City. Methods: Samples were collected from November 2012 to December 2018 and were analyzed for complex odor. The odor occurrence rate and the odor reduction rate were calculated. Results: In 2018, the mean concentration of complex odor decreased 20.9% and the odor occurrence rate decreased from 65.0 to 27.5% around the industrial complex area (#1-#5) in Seo-gu compared to 2013. After the operation of the Odor Monitoring System, the standard excess rate (3.0%→40.8%) and the excess concentration of complex odor (1,442→4,304) increased at odor-emitting workplaces. In addition, the mean concentration of complex odor (15.9%) and the odor occurrence rate (60.6%→32.9%) around the industrial complex area (#1-#5) and the number of odor complaints (23.4%) in Seo-gu decreased. Conclusion: In order to reduce the odor around the industrial complex area, it is important to improve the odor emitting facilities. The Odor Monitoring System uses scientific and systematic monitoring methods that can help control and manage the odor emission facilities.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.12-23
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• 2014

The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on the development of advanced maintenance system to avoid unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to gather the status data of equipment and send health monitoring data to administrator of an offshore plant in a real time way, which leads to having much concern on the condition based maintenance policy. In this study, we have reviewed previous studies associated with CBM (Condition-Based Maintenance) of offshore plants, and introduced an algorithm predicting the next failure time of the compressor which is one of essential mechanical devices in LNG FPSO (Liquefied Natural Gas Floating Production Storage and Offloading vessel). To develop the algorithm, continuous time Markov model is applied based on gathered vibration data.

• Journal of Electrical Engineering and Technology
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• v.10 no.6
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• pp.2315-2325
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• 2015

Induction motors are widely used in industrial processes since they offer a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to an unexpected interruption at the industrial plant. Therefore, the condition monitoring of the induction motors have been a challenging topic for many electrical machine researchers. Indeed, the effectiveness of the fault diagnosis and prognosis techniques depends very much on the quality of the fault features selection. However, in induction-motor drives, rotor defects are the most complex in terms of detection since they interact with the supply frequency within a restricted band around this frequency, especially in the no-loaded case. To overcome this drawback, this paper deals with an efficient and new method to diagnose the induction-motor rotor fault based on the digital implementation of the monitoring algorithm based on the association of the Time Synchronous Averaging technique and Discrete Wavelet Transform. Experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the combined “Time Synchronous Averaging – Discrete Wavelet Transform” approach.

• Journal of Electrical Engineering and Technology
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• v.9 no.2
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• pp.559-568
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• 2014

Induction motors are critical components in industrial processes since their failure usually lead to an unexpected interruption at the industrial plant. The studies of induction motor behavior during abnormal conditions and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. In this regard, an efficient and new method to detect the induction motor-fault may be the application of the Time Synchronous Averaging (TSA) to the stator current Park's Vector. The aim of this paper is to present a methodology by which defects in a three-phase wound rotor induction motor can be diagnosed. By exploiting the cyclostationarity characteristics of electrical signals, the TSA method is applied to the stator current Park's Vector, allowing the monitoring of the induction motor operation. Simulation and experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the hybrid Park's Vector-TSA approach.

• Korean Journal of Plant Resources
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• v.19 no.1
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• pp.29-44
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• 2006

The flora of vascular plants in Geojedo revealed to be 550 taxa based on only the voucher specimens to be collected. It comprise 108 families, 341 genera, 478 species, 69 varieties and 3 forms respectively. Among them, 13 taxa of Korean endemics and 8 taxa of rare and endangered plants were investigated in addition to 75 taxa of specially designated plants announced by the Ministry of Environment. Furthermore, 36 taxa of induced and naturalized plants were also observed in this area. One of the characteristics of forest vegetation is the broadly occupation of Pinus thunbergii on whole area of Geojedo. Although it's well condition and conservation status, the destruction area of vegetation was rapidly increasing by the industrial development, the deforestation and the tramp as well as by the basic disturbances of human beings. Therefore, more active and positive conservation strategy such as expansion of conservation area should be prepared rapidly by the results of long-term monitoring studies.