• Nuclear Engineering and Technology
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• 제37권2호
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• pp.127-138
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• 2005

Approaches to several recent issues in the operation of nuclear power plants using computational intelligence are discussed. These issues include 1) noise analysis techniques, 2) on-line monitoring and sensor validation, 3) regularization of ill-posed surveillance and diagnostic measurements, 4) transient identification, 5) artificial intelligence-based core monitoring and diagnostic system, 6) continuous efficiency improvement of nuclear power plants, and 7) autonomous anticipatory control and intelligent-agents. Several changes to the focus of Computational Intelligence in Nuclear Engineering have occurred in the past few years. With earlier activities focusing on the development of condition monitoring and diagnostic techniques for current nuclear power plants, recent activities have focused on the implementation of those methods and the development of methods for next generation plants and space reactors. These advanced techniques are expected to become increasingly important as current generation nuclear power plants have their licenses extended to 60 years and next generation reactors are being designed to operate for extended fuel cycles (up to 25 years), with less operator oversight, and especially for nuclear plants operating in severe environments such as space or ice-bound locations.

• 전기학회논문지P
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• 제59권3호
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• pp.340-344
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• 2010

In order to achieve purpose of Smart Grids, which is effective use of electrical energy, the safety of electrical installations must be secured. This paper presented real time monitoring and management method for electrical safety of customer electrical installations connected to Smart Grids. And the direction of electrical safety system for the introduction of real time monitoring and management method was suggested. Efficiency improvement of electrical safety management and new supplementary services related with Smart Girds will be available by introducing the presented method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 B
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• pp.666-668
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• 2000

The LIMs performance on-line monitoring system is proposed by using LabVIEW software and A/D board. The on-line monitoring system set-up can measure input voltage. current, power, power factor, electromagnetic thrust, and efficiency etc. This paper reports data on LIM performance measured by the proposed on-line monitoring system.

• 대한산업공학회지
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• 제40권1호
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• pp.34-42
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• 2014

SCADA and DCS that have performed automatic control and monitoring activities increase the productivity of enterprise in industries. In such systems, although their performance had been improved, there are still many deficiencies in predictive maintenance which can foresee the risk of any kinds of accidents. Because the data acquisition systems of main facilities are being distributed throughout the whole plant and therefore, integration of data obtained from the systems is very difficult. Accordingly, techniques that acquire meaningful information from the gathered data through realtime analysis still need to be improved. This paper introduces a developed facility monitoring system which can predict equipment failure and diagnose facility status through big data analysis to improve equipment efficiency and prevent safety accidents.

• 대한전기학회논문지:전력기술부문A
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• 제48권8호
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• pp.941-950
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• 1999

This paper presents a DSM monitoring methodology that is able to evaluate the impact of DSM programs especially focused on the strategic conservation i.e. the enhancement of end-use energy efficiency. For an effective assessment of DSM programs, it is foremost necessary to examine the market characteristics on the specific end-use appliance according to the customer's adoption of DSM programs. The proposed monitoring methodology contains a diffusion process of high efficient end-uses considering major factors of DSM impact such as, price, reference capacity, forecasted capacity and lifetime of end-use appliances. Case studies show the projection of power reductions and energy savings resulted from DSM monitoring in order to diagnose the current status properly and provide a baseline of DSM policy and analysis.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2007년도 하계학술대회 논문집
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• pp.473-475
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• 2007

This paper shows a monitoring program, and this Exploiting monitoring program is a program for real-time monitoring the current and voltage which is produced by wind generators. And this program helps to check efficiency and situation of the wind generator; therefore, it uses LabVIEW for this real-time monitoring program. It is expensive that the specific network is needed in the common LD (long distance) data transmission. So in this paper, it shows the transmission method which use ezTCP/LAN (Serial-port${\leftarrow}{\rightarrow}$LAN-port converter) and combine with the TCP/IP based on LabVIEW. And in this method the specific network is not needed for using the Internet network to transmit the data, which can reduce the application cost of the system.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.633-636
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• 2003

Most of maritime metallic structures are adopted a CP(Cathodic Protection) System for protection of corrosion in advanced country. So, we had been developed a remote corrosion monitoring control system. And we want to know the characteristics of efficiency, reliability, durability and so on. On the view point of it, we have to test in real field. in terms of design, cathodic protection systems, corrosion monitoring systems and optimal corrosion control systems compare to general commercial products. So, these systems have being studied to improve their capability. In this paper, the result of field testing center design of intelligent cathodic protection system including anodes, a real-time wireless remote corrosion monitoring and corrosion control system are described in naval ports.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2006년도 춘계학술대회
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• pp.308-311
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• 2006

A vibration monitoring is performed on a 1kW class stand alone wind turbine(W/T). When a W/T model is developed, general performance under various wind condition should be verified to introduce the product in the market. Especially, vibration characteristics within operating speed range are very important in the aspect of structural stability as well as generator's electrical efficiency. This paper examines the vibration performance of a home made 1kW W/T Various data of the W/T model are acquired in real time using a remote vibration monitoring system installed in Daekwanryung test site. Vibration stability of the W/T structure is diagnosed based upon the data and the result is used to estimate the applicability of the W/T model.

• 한국멀티미디어학회논문지
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• 제19권8호
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• pp.1505-1515
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• 2016

The age of autonomous vehicles has come according to development of high performance sensing and artificial intelligence technologies. And importance of the vehicle's surrounding environment sensing and observation is increasing accordingly because of its stability and control efficiency. In this paper we propose an integrated platform for efficient networking, analysis and monitoring of multiple sensing data on the vehicle that are equiped with various automotive sensors such as GPS, weather radar, automotive radar, temperature and humidity sensors. From simulation results, we could see that the proposed platform could perform realtime analysis and monitoring of various sensing data that were observed from the vehicle sensors. And we expect that our system can support drivers or autonomous vehicles to recognize optimally various sudden or danger driving environments on the road.

• 한국군사과학기술학회지
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• 제22권5호
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• pp.667-673
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• 2019

We present an orienteering problem with unknown stochastic reward(OPUSR) model for persistent monitoring tasks with unknown event probabilities at each point of interest. Prior studies on orienteering problem for persistent monitoring task assume that rewards and event probabilities are known as a prior. In this paper, we propose a stochastic reward model with unknown event statistics and a path re-planning algorithm based on Bayesian reward inference. Experiments demonstrate the efficiency of our method.