• Structural Engineering and Mechanics
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• v.72 no.1
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• pp.31-41
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• 2019

Structural integrity assessment of piping components is of paramount important for remaining life prediction, residual strength evaluation and for in-service inspection planning. For accurate prediction of these, a reliable fracture parameter is essential. One of the fracture parameters is stress intensity factor (SIF), which is generally preferred for high strength materials, can be evaluated by using linear elastic fracture mechanics principles. To employ available analytical and numerical procedures for fracture analysis of piping components, it takes considerable amount of time and effort. In view of this, an alternative approach to analytical and finite element analysis, a model based on relevance vector machine (RVM) is developed to predict SIF of part through crack of a piping component under fatigue loading. RVM is based on probabilistic approach and regression and it is established based on Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Model for SIF prediction is developed by using MATLAB software wherein 70% of the data has been used for the development of RVM model and rest of the data is used for validation. The predicted SIF is found to be in good agreement with the corresponding analytical solution, and can be used for damage tolerant analysis of structural components.

• Nuclear Engineering and Technology
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• v.55 no.3
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• pp.827-838
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• 2023

Centrifugal pump is a key part of nuclear power plant systems, and its health status is critical to the safety and reliability of nuclear power plants. Therefore, fault diagnosis is required for centrifugal pump. Traditional fault diagnosis methods have difficulty extracting fault features from nonlinear and non-stationary signals, resulting in low diagnostic accuracy. In this paper, a new fault diagnosis method is proposed based on the improved particle swarm optimization (IPSO) algorithm-based variational modal decomposition (VMD) and relevance vector machine (RVM). Firstly, a simulation test bench for rotor faults is built, in which vibration displacement signals of the rotor are also collected by eddy current sensors. Then, the improved particle swarm algorithm is used to optimize the VMD to achieve adaptive decomposition of vibration displacement signals. Meanwhile, a screening criterion based on the minimum Kullback-Leibler (K-L) divergence value is established to extract the primary intrinsic modal function (IMF) component. Eventually, the factors are obtained from the primary IMF component to form a fault feature vector, and fault patterns are recognized using the RVM model. The results show that the extraction of the fault information and fault diagnosis classification have been improved, and the average accuracy could reach 97.87%.

• The Korean Journal of Pain
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• v.34 no.1
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• pp.58-65
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• 2021

Background: Supraspinal delivery of neurotensin (NTS), which may contribute to the effect of a systemically administered agonist, has been reported to be either pronociceptive or antinociceptive. Here, we evaluated the effects of systemically administered NTSR1 agonist in a rat model of neuropathic pain and elucidated the underlying supraspinal mechanism. Methods: Neuropathic pain was induced by L5 and L6 spinal nerve ligation in male Sprague-Dawley rats. The effects of intraperitoneally administered NTSR1 agonist PD 149163 was assessed using von Frey filaments. To examine the role of 5-HT neurotransmission, a serotonin (5-HT) receptor antagonist dihydroergocristine was pretreated intrathecally, and spinal microdialysis studies were performed to measure the change in extracellular level of 5-HT in response to PD 149163 administration. To investigate the supraspinal mechanism, NTSR1 antagonist 48692 was microinjected into the rostral ventromedial medulla (RVM) prior to systemic PD 149163. Additionally, the effect of intrathecal DHE on intra-RVM PD 149163 was assessed. Results: Intraperitoneally administered PD 149163 exhibited a dose-dependent attenuation of mechanical allodynia. This effect was partially reversed by intrathecal pretreatment with dihydroergocristine and was accompanied by an increased extracellular level of 5-HT in the spinal cord. The PD 149163-produced antinociception was also blocked by intra-RVM SB 48692. Direct injection of PD 149163 into the RVM mimicked the maximum effect of the same drug delivered intraperitoneally, which was reversed by intrathecal dihydroergocristine. Conclusions: These observations indicate that systemically administered NTSR1 agonist produces antinociception through the NTSR1 in the RVM, activating descending serotonergic projection to release 5-HT into the spinal dorsal horn.

• Korea Information Processing Society Review
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• v.20 no.4
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• pp.74-85
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• 2013

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2010.03b
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• pp.25-25
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• 2010

This paper describes the design and fabrication of a Risk Voltage Meter (RVM) which can analyze the step and touch voltages in grounding systems. The meter consists of a sine-wave power source which generates up to 300 [$V_{rms}$] in ranges of 45 [Hz]~1 [kHz], a 8 Ch. data acquisition module, and a personal computer. Also, a noise elimination method by a digital band-pass filter during measurement is proposed.

• 한국전산유체공학회:학술대회논문집
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• 1995.10a
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• pp.246-252
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• 1995

The transient incompressible flow behind the bluffbody is numerically simulated using the random vortex method(RVM). Based on the vorticity formulation of the unsteady Navier-Stokes equations, the Lagrangian approach with the random walk technique is employed to account for the transport processes of the vortex elements. The random walk procedure for the diffusion process has been validated against the exact solutions. The present simulation focuses on the transition flow regime where the recirculation zone behind the bluffbody becomes highly unsteady and large-scale vortex eddies are shed from the bluffbody wake. The unsteady flow structures and the mixing characteristics behind the bluffbody are discussed in details.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.2034-2035
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• 2008

본 논문은 RVM(Return Voltage measurement)을 이용하여 식물유와 광유에 따른 절연지의 수분 흡습성에 관한 특성을 비교하였다. 시험 절연재료로써 절연유는 각각 식물유(Bio Trans 1000,Cargill사)와 광유(제1종 2호, 동남석유(주))를 사용하였고, 절연지는 셀룰로오스계 크래프트 절연지를 사용하였다. 각 조건에서 IEEE/ANSI Standard C59.91-1981의 기대수명 곡선에서 $55^{\circ}C$ 절연을 기준으로하여 가속 열열화 시험을 수행한 후, $15^{\circ}C$씩 온도를 변화시켜 RVM 측정을 하였다.

• Industrial Engineering and Management Systems
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• v.14 no.3
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• pp.318-324
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• 2015

This paper proposes a dynamic short-term load forecasting method that utilizes a new sequential learning algorithm based on Relevance Vector Machine (RVM). The method performs general optimization of weights and hyperparameters using the current relevance vectors and newly arriving data. By doing so, the proposed algorithm is trained with the most recent data. Consequently, it extends the RVM algorithm to real-time and nonstationary learning processes. The results of application of the proposed algorithm to prediction of electrical loads indicate that its accuracy is comparable to that of existing nonparametric learning algorithms. Further, the proposed model reduces computational complexity.

• Proceedings of the KIEE Conference
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• 2007.04b
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• pp.31-34
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• 2007

회복전압 측정법(RVM: Recovery voltage measurement)은 최근 유럽지역에서 활발히 연구 진행되고 있는 절연 진단 기법 중의 하나로 소개된바 있으며, 오일과 절연지 사이에 스며든 수분량을 검출할 수 있는 진단 시스템기법이다. 변압기 내부의 절연물질에 대한 분극특성을 분석함으로서 열화진행정도 및 열화정도를 진단하는데 활용될 수 있다. 본 논문은 국산화의 일환으로 전기계측제어용 LabVIEW 프로그램을 활용하여 RVM 전 과정을 자동으로 사용할 수 있도록 자체 제작한 프로그램을 소개하고자 한다.

• Proceedings of the KIEE Conference
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• 2007.04b
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• pp.49-51
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• 2007

수분은 변압기 내부의 절연물의 절연내력에 악영향을 끼치므로, 변압기 열화진단의 중요한 요소이다. 이러한 수분을 검출하기 위한 여러 가지 방법들(Karl-Fischer법, Dew-Point법, RVM 등)이 개발되어졌고, 현재도 많은 연구가 진행되어 지고 있다. 본 논문에서는 회복전압측정법(RVM : Return Voltage Measurements)과 FDS(Frequency Domain Spectrum)를 이용하여 변압기의 여러 구성물(절연지, 전극, 절연유 등)들과 수분과의 반응 메커니즘을 분석하였다. 눈으로 확인할 수 없는 부분을 규명함으로서 앞으로 변압기 열화진단법들의 개발에 기여하고자 하였다.