• 성인간호학회지
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• 제19권4호
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• pp.614-623
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• 2007

Purpose: The purpose of this study was to examine the relationships among knowledge, attitudes, and the use of negative control maintenance techniques toward older adults among nurses working in geriatric hospitals (n=86). Methods: Data were collected from April 4th to May 30th in 2006 by using questionnaires of Fact on Aging Quiz Part I, Aging Semantic Differential Scaling, and Control Maintenance Techniques. Results: The findings showed that the nurses displayed lack of knowledge concerning older adults and their average rate of correct answer was 45.6%. They also hold some negative bias and attitudes, especially in psychological and social aspects. The level of using negative control maintenance techniques in managing older patients' problematic behaviors was reported as the mean of 5.65 with a possible range of 0-40. Nurse's knowledge of older adults was positively associated with their attitudes toward older adults, but their knowledge and attitudes were not associated with the use of negative control maintenance techniques. Conclusion: It is necessary to provide educational programs for nurses that focus on a comprehensive understanding of aging with lifetime developmental perspectives. Further studies are needed to understand the factors associated with using negative control maintenance techniques and to evaluate the intervention programs in reducing the use of negative control maintenance techniques.

• 산업경영시스템학회지
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• 제46권2호
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• pp.133-142
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• 2023

The large process plant is currently implementing predictive maintenance technology to transition from the traditional Time-Based Maintenance (TBM) approach to the Condition-Based Maintenance (CBM) approach in order to improve equipment maintenance and productivity. The traditional techniques for predictive maintenance involved managing upper/lower thresholds (Set-Point) of equipment signals or identifying anomalies through control charts. Recently, with the development of techniques for big analysis, machine learning-based AAKR (Auto-Associative Kernel Regression) and deep learning-based VAE (Variation Auto-Encoder) techniques are being actively applied for predictive maintenance. However, this predictive maintenance techniques is only effective during steady-state operation of plant equipment, and it is difficult to apply them during start-up and shutdown periods when rises or falls. In addition, unlike processes such as nuclear and thermal power plants, which operate for hundreds of days after a single start-up, because the pumped power plant involves repeated start-ups and shutdowns 4-5 times a day, it is needed the prediction and alarm algorithm suitable for its characteristics. In this study, we aim to propose an approach to apply the optimal predictive alarm algorithm that is suitable for the characteristics of Pumped Storage Power Plant(PSPP) facilities to the system by analyzing the predictive maintenance techniques used in existing nuclear and coal power plants.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2002년도 학술대회지
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• pp.188-191
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• 2002

This paper concerns 3-D graphical modeling and simulation techniques for design and control of automated equipment for construction and facility maintenance. A case study on the use of 3-D graphics techniques for developing a power plant maintenance robot is presented. By simulating equipment operation within the 3-D geometry models of the work environment the environment design was improved. The 3-D graphical models of the equipment and the work environment were further utilized for the control of the robot from a remote distance. By presenting the real-time updated equipment configuration and the work environment to the operator, the graphical model-based equipment control system helped the operator overcome the problems associated with spatial perception. The collision between the robot and the plant structures was also avoided based the real-time analysis of the dynamically updated graphical models.

• 한국구조물진단유지관리공학회 논문집
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• 제2권2호
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• pp.185-194
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• 1998

This paper shows a case study on quality confirmation and maintenance monitoring of the tunnel underpassing the Han River. First of all, when it comes to the quality confirmation, soil investigation techniques and shotcrete core test will be improved. On the construction stages, quality control procedures are needed. Second, on the maintenance monitoring, it is the main tool to control stability and safety of the tunnel structures throughout the construction period. On the geotechnical monitoring instrumentation, some considerations such as installation of monitoring sections in time, immediate base readings, adequate reading frequency, etc - shall be improved.

• International Journal of Railway
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• 제7권3호
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• pp.80-84
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• 2014

The purpose of this paper was to review Intelligent Compaction (IC) techniques, which is regarded relatively new to the railroad roadbed construction activity. Most of civil structures are built on roadbed that supposed to provide adequate load bearing support to the upper structure through the qualified compaction process. However, it is not uncommon for structure failure attributed to inadequate compaction control take place in field sites. Unlike traditional compaction control method to check field density at several locations, IC techniques continuously measure various compaction quality indices that represent compaction uniformity. In this paper, a series of literature review relevant to IC techniques was conducted to provide concise summary on the following categories: 1) background of IC technique; 2) Summary of IC vendors and basic principles; 3) modeling of IC behavior, and 4) case study along with correlation between IC with other measurements. In summary, IC technologies seem to be promising in future railroad construction to achieve better compaction quality control so that the serviceability of railroad can be ensured with minimizing rehabilitation and maintenance activities.

• Environmental Engineering Research
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• 제21권2호
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• pp.109-120
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• 2016

Conventional treatment techniques cannot meet the stringent modern water quality regulations emanating from the need to provide high quality drinking water. Therefore, a number of studies have suggested low pressure membrane filtration as a worthwhile alternative. However, a major constraint to the extensive use of this technology in low and middle income countries is the high operating and maintenance costs caused by the inherent predisposition to membrane fouling. Notwithstanding, pretreatment of feed water using techniques such as coagulation, adsorption, oxidation and bio-filtration is believed to control fouling. In this review paper, the existing scientific knowledge on membrane fouling and pretreatment techniques for controlling fouling in low pressure membranes is analyzed with the aim of providing new and valuable insights into such techniques, as well as unveiling crucial issues noteworthy for further studies. Among the techniques reviewed, coagulation was observed to be the most cost-effective and will remain the most dominant in the coming years. Although oxidants and magnetic ion exchange resins can also control fouling, the propensity of oxidants to form health treating precursors and the high economic implications of magnetic ion exchange resins will hinder their adoption in developing countries.

• International Journal of Reliability and Applications
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• 제2권1호
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• pp.57-71
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• 2001

Global competition to increase production output and to improve quality is spurring manufacturing companies to use condition monitoring and fault diagnostic systems for predictive maintenance. As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this article, we will consider the computer based data acquisition system for condition monitoring and the condition parameter analysis techniques for fault detection and diagnostics in the machinery and briefly discuss reliability prediction and the limit value determination in condition monitoring.

• 한국구조물진단유지관리공학회 논문집
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• 제5권3호
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• pp.191-201
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• 2001

In spite of the increasing construction of segmental PSC box girder bridges, the techniques associated with real-time monitoring, construction control and safety assessment during construction have been less developed compared with the construction techniques. Thus, the development of an integrated system including real-time measurement and monitoring, control and safety assessment system during construction is necessary fur more safe and precise construction of the bridges. This study presents a prototype integrated monitoring system for preventing abnormal behavior and accidents under construction stages, that consist of behavior control system for precise construction, reliability-based safety assessment system, and structural analysis. Also, a prototype software system is developed on the basis of the proposed model. It is successfully applied to the Sea-Hae Grand Bridge built by FCM. The integrated system model and software system can be utilized for the safe and precise construction of segmental PSC bridges during construction.

• 한국컴퓨터정보학회논문지
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• 제24권11호
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• pp.219-228
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• 2019

해군 지휘통제체계는 작전에 매우 중요한 체계이고, 이 체계의 장애는 전쟁 수행에 있어 치명적일 수 있다. 이러한 장애에 대비하기 위하여, 데이터 마이닝 기법 중 하나인 속성 선택(Feature Selection) 기법을 이용한다. 먼저, 해군의 2016년부터 2018년까지의 장애 데이터를 분석한 후, 속성 선택 기법을 이용하여 장애와 가장 연관이 깊은 속성을 도출하고 장애에 대하여 예측한다. 또한, 속성 간의 연관 정도를 이용하여 해군 지휘통제체계의 유지보수 우선순위를 산정하는 방법을 제안한다. 이는 해군 지휘통제체계 유지보수에 있어 효율성과 경제성을 향상시킬 수 있다.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2000년도 춘계학술대회 발표논문집
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• pp.177-183
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• 2000

As monitoring, testing, and measuring techniques develop, predictive control of components and complete systems have become more practical and affordable. In this paper we develop a statistics-based approach assuming nonlinear degradation paths and time-dependent standard deviation. This approach can be extended to provide reliability estimates and limit value determination in the censoring case fur predictive maintenance policy.