• Title/Summary/Keyword: 건전성 관리시스템

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A Study on Control Effectiveness of Enterprise Risk Management Level Relation with Technology Innovation & New Product Development Outcome (기술혁신수준과 신제품개발성과 관계에서 전사적 위험관리 수준 조절효과 연구 - 연구개발, 생산, 마케팅의 전략적 운영부문 위험관리수준의 조절효과 중심 -)

  • Lee, Kwang-Soo;Ree, Sang-Bok
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2009.10a
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    • pp.277-278
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    • 2009
  • 기술은 기업에 있어서 없어서는 안되는 소중한 무형자산이다. 현대의 기업은 재무적 경쟁요소에서는 비교적 유사한 행태를 보이고 있으며 기업간 차별성이 거의 없다. 하지만 무형적 가치인 기술은 그 기업의 존재의 의미를 부여하는 매우 중요한 요소이다. 많은 기업들이 기술개발에 많은 시간과 비용을 들이고 있으나 그 성공확율은 10%가 채 안되는 실정이므로 신제품개발 실패시 기업에게 적지 않은 타격을 입히게 된다. 특히 중소기업의 경우 개발한 것은 무조건 성공을 시켜야 하는 어려움에 처해 있다. 이런 위험이외에 외생적 경영환경변수로 인하여 더욱 더 기업들은 위기와 위험에 노출되어 있으므로 기업들은 전사적위험관리(ERM)시스템 도입을 통해 기업의 재무건전성, 최적의 투자전략, 현금흐름, 위기로 부터의 관리가 필요하다 하겠다. 본 연구에서는 기술혁신기업에 있어서 전사적위험관리 도입의 필요성을 제시하고자 한다.

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CNN based Actuator Fault Cause Classification System Using Noise (CNN 기반의 소음을 이용한 원동 구동장치 고장 원인 분류 시스템)

  • Lee, Se-Hoon;Kim, Ji-Seong;Shin, Bo-Bae
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.7-8
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    • 2018
  • 본 논문에서는 CNN 기반의 소음을 이용한 원동 구동장치 진단시스템(PHM)을 제안한다. 이 시스템은 구동장치로부터 발생된 소리로부터 특징데이터를 추출하여 이를 학습한 후 실시간으로 구동장치의 상태를 진단하는 것을 목적으로 하며, 딥러닝 기술을 이용하여 특정 장치에 종속되지 않고 학습할 데이터에 따라 적용 대상이 쉽게 가변 할 수 있도록 설계하였다. 본 논문에서는 실제 적용될 현장에서 발생할 수 있는 예측외의 소음환경에 유연하게 대처하기 위해 딥러닝 모델 중 CNN을 적용한 시스템을 설계하였으며, 제안된 시스템과 이전 연구에서 제안된 DNN 기반의 기계진단시스템을 학습데이터의 환경과 다른 처리배제가 필요한 소음환경에서 비교 실험하여 제안된 시스템이 새로운 환경적응 성능향상에 대하여 우수한 결과를 얻었음을 확인하였다.

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Optical Fiber-Based Hybrid Nerve Measurement System for Static and Dynamic Behavior of Structures (구조물의 정적 및 동적 거동 모니터링을 위한 광섬유 기반 하이브리드 신경망 계측 시스템)

  • Park, Young-Soo;Song, Kwang-Yong;Jin, Seung-Seop;Park, Young-Hwan;Kim, Sung-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.24 no.2
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    • pp.33-40
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    • 2020
  • Various studies have been conducted on the structural health monitoring using optical fiber. Optical fibers can be used to measure multiple and distributed strain. Among the optical fiber sensors, FBG sensor has advantages of dynamic response measurement and high precision, but the number of measurement points is limited. Distributed fiber sensors, represented by distributed Brillouin sensors, usually have more than 1000 measurement points, but the low sampling rate makes dynamic measurements impossible. In this study, a hybrid nerve sensor system using only the advantages of the FBG sensor and the distributed Brillouin sensor has been proposed. Laboratory experiments were performed to verify the proposed system, and the accuracy and reproducibility were verified by comparing with commercial sensors. Applying the proposed system, dynamic response ambient measurements are used to evaluate the global state of the structure. When an abnormal condition is detected, the local condition of the structure is evaluated by static response measurement using the distributed measurement system. The proposed system can be used for efficient structural health monitoring.

A Study on Efficiency of Water Purification of Korean Village Bangjuk[dike] as a Means of Ecological Watershed Management (생태적 유역관리 도구로써 마을방죽의 수질정화 효율성 고찰)

  • An, Byung-Chul
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.30 no.2
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    • pp.90-100
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    • 2012
  • This study centering on 10 village - Bangjuks analyzed multifunctionality value of village Bangjuks which have been main water treatment system in Korean traditional villages. On the basis of understanding the structure and character of components such as the well, common spring, village waterway and others which making water-flow and consisting of aquatic system in Korean traditional village Bangjuk, the conclusion as the instrumental device of social and ecological role and ecological watershed management, securing the ecosystem soundness of the damaged or deteriated aquatic ecosystem due to the industrialization and urbanization is as below; 1. The traditional village Bangjuk was environmentally friendly hydraulic system which gathers waterways of village into a point including sewage water, retains and flows out to village through agricultural waterway. Through this Bangjuk, they have managed sewage and rainfall runoff flowed out village efficiently. It is not only a detention system of water but a kind of eco-friendly system that flow out water into the rivers after reusing and filtering it. 2. Around five traditional villages and five villages after modernization, this study classified the types of village Bangjuk as three types considering geographic location, size, etc; marsh type of low swamp, high water -low rice field type of natural flow stucture, low water - high rice field type requiring artificial irrigation facility. All the five traditional villages were turned out to be marsh type of low swamp. Geoji, Sanjeri, Ma-am, Yangchon of the agricultural villages were high water-low rice filed type, and Sangchoenri village was classified low water-high rice field type. 3. This study checked up the function of water purification of village Bangjuk. In Wonteo and Geji villages affected by discharge of village sewer and domestic sewage, the efficiency of ammonia nitrogen($NH_3-N$) and total phosphorus(T-P) was 56~95%, which was high. In Sangcheonri and Sanjeri villages strongly affected by stall and farmland, the efficiency of suspended solids(SS) was 70~85%, and that of total nitrogen(T-N) and total phosphorus(T-P) was 5.3~65%. 4. A water purification system can be found out in the system of village Bangjuk that filter out village sewage and rainfall runoff flowed through the settle and filter of pollution source and denitrification of plants. Through this system of village Bangjuk, it must be used as the basic facilities for the ecological watershed management. The sewage management system of village Bangjuk as a eco-filter must be used and studied as an eco-friendly facility for the ecological watershed management around the subwatershed and catchment.

Deep Learning Approaches to RUL Prediction of Lithium-ion Batteries (딥러닝을 이용한 리튬이온 배터리 잔여 유효수명 예측)

  • Jung, Sang-Jin;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.12
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    • pp.21-27
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    • 2020
  • Lithium-ion batteries are the heart of energy-storing devices and electric vehicles. Owing to their superior qualities, such as high capacity and energy efficiency, they have become quite popular, resulting in an increased demand for failure/damage prevention and useable life maximization. To prevent failure in Lithium-ion batteries, improve their reliability, and ensure productivity, prognosticative measures such as condition monitoring through sensors, condition assessment for failure detection, and remaining useful life prediction through data-driven prognostics and health management approaches have become important topics for research. In this study, the residual useful life of Lithium-ion batteries was predicted using two efficient artificial recurrent neural networks-ong short-term memory (LSTM) and gated recurrent unit (GRU). The proposed approaches were compared for prognostics accuracy and cost-efficiency. It was determined that LSTM showed slightly higher accuracy, whereas GRUs have a computational advantage.

Analysis of Domestic Research Trends on Artificial Intelligence-Based Prognostics and Health Management (인공지능 기반 건전성 예측 및 관리에 관한 국내 연구 동향 분석)

  • Ye-Eun Jeong;Yong Soo Kim
    • Journal of Korean Society for Quality Management
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    • v.51 no.2
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    • pp.223-245
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    • 2023
  • Purpose: This study aim to identify the trends in AI-based PHM technology that can enhance reliability and minimize costs. Furthermore, this research provides valuable guidelines for future studies in various industries Methods: In this study, I collected and selected AI-based PHM studies, established classification criteria, and analyzed research trends based on classified fields and techniques. Results: Analysis of 125 domestic studies revealed a greater emphasis on machinery in both diagnosis and prognosis, with more papers dedicated to diagnosis. various algorithms were employed, including CNN for image diagnosis and frequency analysis for signal data. LSTM was commonly used in prognosis for predicting failures and remaining life. Different industries, data types, and objectives required diverse AI techniques, with GAN used for data augmentation and GA for feature extraction. Conclusion: As studies on AI-based PHM continue to grow, selecting appropriate algorithms for data types and analysis purposes is essential. Thus, analyzing research trends in AI-based PHM is crucial for its rapid development.

Competitiveness Enhancement for Local Commercial Banks in Vietnam (베트남 일반은행의 경쟁력 제고에 관한 연구)

  • Dinh, Nguyen Yen Chi;Kim, Jung-Ho
    • International Area Studies Review
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    • v.21 no.2
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    • pp.171-196
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    • 2017
  • This study employed the Analytical Hierarchy Process (AHP) methodology with the enhancement of the competitiveness of Vietnamese commercial banks set as the overall goal of the model. Analysis of the survey questionnaire based on pair-wise comparisons and collected from experts in the field of banking led to three significant findings. First, banking safety is the most important evaluation criteria for the competitiveness of local commercial banks in Vietnam, followed by operating efficiency, intangible values and large scale. Second, in order to achieve the overall goal of enhancing competitiveness for local banks, securing healthy financial conditions should be made the priority. Effective management systems, strategic human resource planning and high-quality products and services all show strong connections to achieving the evaluation criteria. Third, the study found that bad debt settlement is essential in obtaining healthy financial conditions. In order to introduce effective management systems as well as high-quality products and services, technological advances are very important. Improving the quality of executives and staff is imperative for strategic human resource planning purposes.

Design and Implementation of Real-Time Indirect Health Monitoring System for the Availability of Physical Systems and Minimizing Cyber Attack Damage (사이버 공격 대비 가동 물리장치에 대한 실시간 간접 상태감시시스템 설계 및 구현)

  • Kim, Hongjun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.6
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    • pp.1403-1412
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    • 2019
  • Effect of damage and loss cost for downtime is huge, if physical devices such as turbines, pipe, and storage tanks are in the abnormal state originated from not only aging, but also cyber attacks on the control and monitoring system like PLC (Programmable Logic Controller). To improve availability and dependability of the physical devices, we design and implement an indirect health monitoring system which sense temperature, acceleration, current, etc. indirectly, and put sensor data into Influx DB in real-time. Then, the actual performance of detecting abnormal state is shown using the indirect health monitoring system. Analyzing data are acquired using the real-time indirect health monitoring system, abnormal state and security threats can be double-monitored and lower maintenance cost utilizing prognostics and health management.

Analysis of water supply management plan and case for agricultural pipeline (농업용 관수로의 급수관리 계획 및 사례분석)

  • Kim, Sun Joo;Kang, Seung Mook;Kim, Phil Sik;Kim, Nam Do;Bark, Min Woo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.293-293
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    • 2015
  • 농촌용수는 자연계의 물순환과 융합한 형태로 반복과 순환의 특징을 갖고 있으며, 지역의 건전한 물순환 형성에 중요한 역할을 담당하고 있다. 또한 식량생산 기반으로서의 역할뿐만 아니라 환경 보전, 전통문화 및 지역사회 등과 밀접한 관련이 있어 사회적 자본으로서의 큰 역할을 하고 있다. 그러나 최근 쌀 소비의 급격한 감소로 논 경작면적이 축소되면서 밭 경작면적이 증가하고 있어 우리나라 농업형태가 논 관개 시스템에서 밭 관개 시스템의 특용작물 재배와 같은 첨단시설의 하우스 농업 형태로 변화하고 있음을 알 수 있다. 농촌용수의 활용은 감소하고 있고 관개 형태의 변화로 용수관리 시스템에 대한 중요성이 대두되고 있고, 관개시스템에서 농촌용수의 효율적인 이용을 위한 수로형태의 변화는 개수로 중심에서 관수로 중심으로 진화하고 있는 상황이다. 농촌용수를 저장, 운용 실태를 보면 노후 된 농업기반시설들로 인하여 저수량 감소가 발생하며, 확보된 용수를 재래식으로 운용함으로 인한 관리 손실발생으로 농촌용수 부족사태를 발생시키고 있으며, 농촌용수 관개를 위한 개수로에서의 용수 손실률은 약 15%에 달하며 이는 약 20억$m^3$으로 추정되고 우리나라 총 수자원의 6%에 해당되는 양이다. 본 연구에서는 관개지구의 급수관리 계획 및 사례 분석을 통해 기존의 모의에 의한 농촌용수 추정 값의 불확실성을 확인하고 실측에 의한 정량화 분석을 통해 관수로 시스템 구축의 타당성 제시 및 효과 분석을 하고자 한다.

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Structural Response Monitoring for Civil Infra-structures and Buildings using Wireless Sensing Technology (무선 센싱 기술을 이용한 사회기반시설물 및 건축물의 구조 반응 자동 모니터링)

  • Choi, Se-Woon;Park, Hyo-Seon;Kim, You-Sok;Kim, Jong-Moon
    • Journal of Korean Association for Spatial Structures
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    • v.15 no.1
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    • pp.8-13
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    • 2015
  • 본 기사에서는 실 사회기반시설물 및 건축물에 적용 가능한 무선 센싱 시스템을 소개하였다. 이는 실용성 및 적용성을 높이기 위해 일방향의 계층형 무선 통신 네트워크 형태를 가지며, 절전 기능을 사용한다. 또한 웹-기반의 관리 프로그램을 통해 원거리에 위치한 구조물의 구조반응을 언제, 어디서든 확인할 수 있다. 이는 자동 계측 및 무선 통신 기법을 사용하기 때문에 설치가 용이하고, 시공 작업의 방해가 적으며, 설치 이후의 유지관리 비용을 절감할 수 있는 이점이 있다. 그러나 실 구조물의 정확한 SHM을 위해서는 계측값의 분석 및 건전도평가 등에 관한 신뢰할 만한 기술 개발이 여전히 요구된다.