• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.05a
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• pp.45-46
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• 2018

S2 module, which is one of the Korean type e-Navigation services, is a service concept that monitors the situation onboard and provides an emergency level determination and response guidance to the ship when an alarm occurs. S2 module is divided into fire/ seakeeping / navigation safety sub-module. In this paper, the concept of S2 service based on actual ship is explained through the response guidance case study of navigation safety module in case of abnormal condition in the passenger ship H.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.65 no.3
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• pp.171-177
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• 2016

Noise problem that occurs in living environment is a big trouble in the economic, social and environmental aspects. In this paper, the filtered-X LMS algorithms, the adjoint LMS algorithms, and the robust adjoint LMS algorithms will be introduced for applications in active noise control(ANC). The filtered-X LMS algorithms is currently the most popular method for adapting a filter when the filter exits a transfer function in the error path. The adjoint LMS algorithms, that prefilter the error signals instead of divided reference signals in frequency band, is also used for adaptive filter algorithms to reduce the computational burden of multi-channel ANC systems such as the 3D space. To improve performance of the adjoint LMS ANC system, an off-line measured transfer function is connected parallel to the LMS filter. This parallel-fixed filter acts as a noise controller only when the LMS filter is abnormal condition. The superior performance of the proposed system was compared through simulation with the adjoint LMS ANC system when the adaptive filter is in normal and abnormal condition.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.172-174
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• 2021

In the existing industry, maintenance was carried out in the form of preventive maintenance such as occurrence of unnecessary idle time due to limited monitoring and maintenance. However, with the advent of the Fourth Industrial Revolution, real-time monitoring is possible in many industries including mining, manufacturing, oil and gas, and commercial agriculture, and it is desired to minimize idle time due to maintenance. In particular, there is a growing interest in predictive maintenance that can reduce costs and maximize operational efficiency by predicting and maintaining a failure before equipment and equipment fail. In this study, we look at the predictive maintenance technology that can verify the abnormal condition of the equipment of the smart factory in advance and monitor the abnormal condition in real time.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.1386-1390
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• 2007

This paper presents the equipment condition monitoring technology for the process or the equipment using statistical techniques. The equipment condition monitoring system consists of an empirical model to estimate the expected sensor values of process variables and a diagnose model to detect the abnormal condition and to identify the root source of the problem. The empirical model is constructed by the analysis of historic data. The diagnose model uses the sequential probability ratio test (SPRT) technique. The monitoring system was tested with real operating data acquired from the Reactor Coolant Pump Seal in the Nuclear Power Plant. It can detect the system degradation or failure at the early stage since it is able to catch the subtle deviation of process variables from normal condition.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.9
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• pp.1589-1593
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• 2008

The condition of a high voltage motor was monitored with the motor performance monitor (MPM) at the motor control center. The MPM detected defects in the rotor bar and end ring and input power according to motor and load conditions. The assessment of the condition of a coal pulverizer motor indicated it was clearly in good condition in terms of the rotor bars, over voltage, and motor performance. However, the side bands at frequency, 56.48 Hz indicated existence of rotor end-ring fault. The large torque ripple indicated abnormal operating conditions. After visual inspection, it has been observed that an impeller blade of the circulating water pump was broken off causing the irregular torque pattern.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.04b
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• pp.383-388
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• 1995

The ARC light has been measured using photo-detect system under different TIG welding condition. Light detect system consists of photo diode, ND Filter, OP Amp. A/D convertor and PC. The purpose of this experiment is to show the relationship between ARC light and process variables such as welding current, torch travel speed, etc. The results can be applied to estimate the condition of welding process and the quality of welding products. The signal of ARC light has periodic patterns in good TIG welding condition whereas in abnormal condition the signal has different pattern. Amount of Ar shielding gas and distance from electrode to specimen affect the signal pattern significantly.

• Journal of Sasang Constitutional Medicine
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• v.14 no.3
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• pp.17-32
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• 2002

Objectives ; A Supplementary Study for Sasangin Identifing is based on Chapter Pathophysiology Part V of [Donggyi Soose Bowon Chobonguan]. And I try to explain that with Sasang Constitutional Theory. After all I want this study given the basis of 'The Guideline of Sasangin's Diagnosis & Treatment(GSDT)'. Methods ; First, I divid ${\ulcorner}$part V${\lrcorner}$ into 4 cartegories (Normal Condition, Abnormal Condition, good or bad Condition, Better or Worse Condition). And then each symtom is analyzed by Sasang Constitutional Medicine(SCM). Conclusions; I am sure that it gives the first step toward Indentifying Sasangin of [Donggyi Soose Bowon]. All of Sasangin Identifing Supplementary are analyzed by SCM. They are divided the identifing for Sasangin classification and Sasangin diagnosis of the disease. And this study will give the basis of ‘GSDT’.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.12 no.3
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• pp.42-48
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• 1990

This is a case report on an unusual - heavy buccal frenum in young lady which was treated by frenectomy, vestibuloplasty and total-palatal mucosal free graft. The authors noticed that this abnormal condition lead several chronic complications in young patient as like as premature loss of upper molar teeth, early and rapid loss of alveolar bone around insertion of frenum, over - extended eruption of lower molar teeth and abnormal mandibular movements, etc. After frenectomy and surgical extension of buccal vestiblue on both upper and lower posterior regions, we obtained a full - sized palatal mucosal graft and moved it on upper and lower extension area seperately as two pieces of free grafts to offer inherent function of denture - bearing mucogingiva and same color - matching with oral mucosa and to prevent post - operative relapse of vestibular height. We discussed here about unusual abnormality and their complications of unusual buccal frenum and its treatment.

• Journal of Physiology & Pathology in Korean Medicine
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• v.31 no.1
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• pp.1-7
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• 2017

There are two kinds of body fluid metabolism in Traditional Korean Medicine based on 'Internal Classic'("內經"); one is metabolism of body fluid(津液) meaning metabolism of physiological substance, and another is metabolism of humor meaning a metabolic process that excretes waste out of the body. 'Phlegm-retained fluid'(痰飮) is a typical pathological condition caused by abnormal fluid metabolism in Traditional Korean Medicine. As a result of reviewing the literature on 'phlegm-retained fluid'(痰飮), the following facts were found; 'Phlegm-retained fluid'(痰飮) is formed by abnormal state of metabolism of body fluid(津液). In other words, because of the action of various etiologies, qi(氣) and body fluid(津液) metabolism can have abnormal conditions and these metabolic disorders cause formation of 'phlegm-retained fluid'(痰飮). Treatments for 'phlegm-retained fluid'(痰飮) include the following: Eliminating the causes of illness, recovery of metabolism of qi(氣) and body fluid(津液), and functional recovery of pancreas and kidney related to body fluid(津液) metabolism. These treatments are distinguished from promotion of sweating(發汗) and helping urination, the treatments for humor metabolism abnormality.

• Journal of Korean Society for Quality Management
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• v.45 no.1
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• pp.25-38
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• 2017

Purpose: Hot strip rolling mill consists of a lot of mechanical and electrical units. In condition monitoring and diagnosis phase, various units could be failed with unknown reasons. In this study, we propose an effective method to detect early the units with abnormal status to minimize system downtime. Methods: The early warning problem with various units is defined. K-means and PAM algorithm with Euclidean and Manhattan distances were performed to detect the abnormal status. In addition, an performance of the proposed algorithm is investigated by field data analysis. Results: PAM with Manhattan distance(PAM_ManD) showed better results than K-means algorithm with Euclidean distance(K-means_ED). In addition, we could know from multivariate field data analysis that the system reliability of hot strip rolling mill can be increased by detecting early abnormal status. Conclusion: In this paper, clustering-based monitoring and fault detection algorithm using Manhattan distance is proposed. Experiments are performed to study the benefit of the PAM with Manhattan distance against the K-means with Euclidean distance.