• Tribology and Lubricants
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• v.18 no.4
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• pp.285-290
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• 2002

Integrated condition monitoring is required to monitor effectively the machine conditions since machine failures could not be monitored accurately by any single measurement parameter. Application of various condition monitoring techniques is therefore preferred in many cases in order to diagnosis the machine condition. However it inevitably requires lots of maintenance cost and sometimes it could be proved to over-maintenance unnecessarily. This could happen especially when one measurement parameter closely correlates to another. Therefore correlation analysis of various monitoring parameters has to be performed to improve the reliability of diagnosis. In this work, Pearson correlation coefficient was used to analyze the correlation between condition monitoring parameters of an over-loaded machine system where the vibration, wear and temperature were monitored simultaneously. The result showed that Pearson correlation coefficient could be regarded as a good measure for evaluating the availability of condition monitoring technology.

• 한국연소학회:학술대회논문집
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• 2014.11a
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• pp.29-32
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• 2014

The practical route for disposal of sewage sludge becomes energy recovery by combustion after its ocean dumping is banned in 2012 in Korea. Due to the high moisture content, however, sewage sludge is required to be dried before transport and combustion. In this study, pyrolysis and combustion characteristics of dried sewage sludge was investigated in a small-scale fixed bed reactor in order to provide fundamental data for energy recovery of the fuel. As the first step of combustion, the primary products of pyrolysis were analyzed in a fixed bed reactor for the condensable volatiles (tar), non-condensable gases, and char. For the combustion characteristics, another fixed bed reactor was constructed to monitor the weight and temperature of the fuel particles during ignition and combustion under different air flow rates. The test results were used to derive the ignition and burning rates.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.1
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• pp.120-127
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• 1991

The purpose of this study is to develop a fault detection and diagnosis scheme that can monitor process fault and instrument fault of a steam generator. The suggested scheme consists of a Kalman filter and two bias estimators. Method of detecting process and instrument fault in a steam generator uses the mean test on the residual sequence of Kalman filter, designed for the unfailed system, to make a fault decision. Once a fault is detected, two bias estimators are driven to estimate the fault and to discriminate process fault and instrument fault. In case of process fault, the fault diagnosis of outlet temperature, feed-water heater and main steam control value is considered. In instrument fault, the fault diagnosis of steam genrator's three instruments is considered. Computer simulation tests show that on-line prompt fault detection and diagnosis can be performed very successfully.

• 한국생물공학회:학술대회논문집
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• 2001.11a
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• pp.241-243
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• 2001

On-line monitoring technique for the concentration of lactate by a FIA(Flow Injection Analysis) system was studied. The lactate oxidase(LOD) was immboilized on VA-Epoxy carrier and integrated into the FIA system. The pH, buffer flow rate and temperature for the LOD-FIA were optimized, and the effects of salts and metabolites dissolved in the sample on the activity of immobilized enzyme were investigated. The LOD-FIA has been applied to monitor the concentrations of lactate in a simulated bioprocess. The on-line monitoring data by the LOD-FIA agreed with the off-line data measured by a fluorescence spectroscopy well.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.15 no.6
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• pp.35-42
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• 2001

Since daily peak load forecasted data are essential to economic operation and power monitor, the technique of accurate forecasting is needled. The chief advantage of forecasting technique using neural network and fuzzy theory is high accuracy and operative implicity but the loaming time is long, and it makes large forecasting error when the load changes rapidly. This paper has resented a new forecasting technique to improve those faults and the forecasting technique prove to be valid by forcasted results.

• Journal of information and communication convergence engineering
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• v.6 no.4
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• pp.454-458
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• 2008

It can improve human being's life quality that all people can have more convenient medical service under pervasive computing environment. For a pervasive health care application for diabetes patient, we've implemented a health care system, which is composed of three parts. Various sensors monitor both outer and inner environment of human such as temperature, blood pressure, pulse, and glycemic index, etc. These sensors form zigbee based sensor network. And medical information server accumulates sensing values and performs back-end processing. To simply transfer these sensing values to a medical team is a low level's medical service. So, we've designed a new service model based on back propagation neural network for more improved medical service. Our experiments show that a proposed healthcare system can give high level's medical service because it can recognize human's context more concretely.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.6
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• pp.467-473
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• 2001

BMS(Battery Management System) in EV system(Electric Vehicle) senses voltage, temperature and the charging or discharging current of batteries. The main roles of BMS are to estimate SOC(State OF Charge) of batteries and optimally monitor them according to the operation state of EV system which is motoring mode or charging mode. In this paper, we propose the proper algorithm about BMS's roles and operation which is suitable to EV system and illustrate validity and effectiveness through the experiments which were performed in the condition of Vehicle road test and charging test.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.2015-2016
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• 2011

Detection of data cleaning bed of because method of communication uses AODV(Ad hoc On-demand Distance Vector) Zig-Bee communication though communication method is important being separated by several part structurally data monitor ring do it way to understand be. Although data that detect in transmitter will get into several kinds, data of each senses is detected by 4 - 20 mA conclusively and remainder data is consisted of temperature data. That is measured in transmitter in mast baud via conversion relation to do monitorring norm of data being decided to PC mistake of measured value so that can do control between enforcement compose. Speak that can manage equipment of cleaning bed by number of persons who write if detect data detection in wide cleaning bed through Zig-Bee communication and is easy because also administration of data consists of real time.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.2055-2056
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• 2011

As rapid aging and high economic level, people are interested in their wellness. And it needs to examine the condition of their health constantly. Proposed device can measure bio-signal by connecting several measurement modules such as spirometric module, blood glucose measurement module, uro-flow measurement module and temperature measurement module. These modules can be chosen as occasion demands. In addition, developed user program enables patients to monitor bio-signal at their own place via the personal computer.

• Journal of the Korean Society for Nondestructive Testing
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• v.30 no.6
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• pp.558-563
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• 2010

In this paper, the novel approach for the fault diagnosis of the bearing equipped with rotational mechanical facilities was studied. As research works, by applying the ball bearing used extensively in many industrial fields, experiments were conducted in order to propose the new prognostic method about the condition monitoring for the rotational bodies based on the condition analysis of infrared thermography. Also, by using the vibration spectrum analysis, the real time monitoring was performed. As results, it was confirmed that infrared thermography method could be adapted into monitor and diagnose the fault for bearing by evaluating quantitatively and qualitatively the temperature characteristics according to the condition of the ball bearing.