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Probability theory based fault detection and diagnosis of induction motor system (확률기법을 이용한 유도전동기의 고장진단 알고리즘 연구)

  • Kim, Kwang-Su;Cho, Hyun-Cheol;Song, Chang-Hwan;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2008.04a
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    • pp.228-229
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    • 2008
  • This paper presents stochastic methodology based fault diction and diagnosis algorithm for induction motor systems. First, we construct probability distribution model from healthy motors and then probability distribution for faulty motors is recursively calculated by means of the proposed probability estimation. We measure motor current with hall sensors as system state. The estimated probability is compared to the model to generate a residue signal which is utilized for fault detection and diagnosis, that is, where a fault is occurred. We carry out real-time induction motor experiment to evaluate efficiency and reliability of the proposed approach.

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The effect of corner shape in the casting mould on thermal stresses distribution (金型의 모서리부 形狀이 熱應力分布에 미치는 影響)

  • 민수홍;구본권;김옥삼
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.15 no.2
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    • pp.567-574
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    • 1991
  • In this study thermal stress generated in three ingot moulds(GC25) during the solidification process of aluminum were analyzed by the two-dimensional thermo-elasto-plastic theory. In temperature analysis, all of the three models are shown steep temperature rising each case in initial stage of cooling. In thermal stress analysis, all of three models took compressible stress on inside wall of the mould, and tensible along with on out side. Model 2 take place less compressible, tensible stress then model 1. But model 3. have similar as thermal stress as model 2. The analysis will made one possible to calculate an optimum mould shape whose thermal stress gradient becomes minimum.

On Radar Surveillance in Statistical Perspective for the Classroom

  • Kim, G. Daniel;Kim, Sung-Sook
    • Research in Mathematical Education
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    • v.6 no.1
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    • pp.97-106
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    • 2002
  • Educators have found that the concept of randomness is often misunderstood by students. Chance recently pointed out that students should be introduced to the concept of randomness through the use of simulations. In this article, we studied various aspects of the probability distribution off linear random path in a circle and introduce some related simulations to guide student exploration and discovery. Consider a random line segment that crosses a circle with a certain radius. Perhaps it can be considered to be a path that an airplane shows up and flies into a random direction in a monitor. What is the expected amount of flying distance through the monitor, and the expected variation\ulcorner Are we monitoring what we see scientifically\ulcorner This article studies the probability distribution and some related aspects of a linear random path within a circular monitor. Some simulative activity is also introduced which can be used in a statistics or probability classes.

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The effect of wear on the damage of slitting knife (Slitting Knife의 손상에 미치는 마모의 영향)

  • Nam, Ki-Woo;Kim, Cheol-Soo;Ahn, Seok-Hwan
    • Journal of Power System Engineering
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    • v.20 no.4
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    • pp.5-11
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    • 2016
  • This study analyzed the damage to a slitting knife after cutting steel sheets. Damages to the structure were observed and wear tests were conducted. In addition, the degradation on the damaged and undamaged parts was compared with a micro Vickers hardness test. Weibull statistical analysis was carried out in order to evaluate the reliability of the micro Vickers hardness measured data. Spalling of the edge portion occurred by degradation during use over a long period. Rough parts in the specimens were caused by damage because the slitting knife was used for 1 year. The friction coefficient and wear loss at the damaged parts of the knife edge were slightly larger from shock due to repetitive cutting operation. The micro Vickers hardness followed a two-parameter Weibull probability distribution.

Joinability of Tool Steels by TLP Bonding (천이액상확산접합에 의한 합금공구강의 접합특성)

  • 권병대;이원배;김봉수;홍태환;서창제;정승부
    • Journal of Welding and Joining
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    • v.21 no.4
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    • pp.69-74
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    • 2003
  • The mechanical properties of STD11 Joints by using TLP (Transient Liquid Phase Diffusion) bonding method employing MBF-30 and MBF-80 insert metals were investigated with concerning to the microstructural change. TLP bonding of STD 11 was carried out at 1323∼1423K for 0.6ks∼3.6ks in vacuum. The microstructure and the element distribution of the interlayer between tool steels and insert metals showed specific feature with bonding conditions. It was found that the width of the interlayer increased at initial bonding stage. However, the width of interlayer showed nearly constant value during the isothermal solidification. After isothermal solidification was completed, the joint showed homogeneous element distribution and similar microstructure with base metal because of the grain boundary migration to the bonded interlayer. The bonding strength measured by a tensile test has been varied with the bonding conditions. The maximum joint strength, 760MPa, was obtained with the condition of 1423K for 1.2ks using MBF30 insert metal in this experiment.

Contributions to the Impaired Water Bodies by Hydrologic Conditions for the Management of Total Maximum Daily Loads (수질오염총량관리 목표수질 초과지역에 대한 유황별 초과기여도 분석)

  • Park, Jun Dae;Oh, Seung Young
    • Journal of Korean Society on Water Environment
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    • v.28 no.4
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    • pp.574-581
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    • 2012
  • It is important to analyze the status of water quality with relation to the stream flow to attain water quality goal more effectively in the unit watersheds for the management of Total Maximum Daily Loads (TMDLs). This study developed a flow duration-water quality distribution graph to figure out water quality appearances on the flow variation and analyzed contributions of water quality observations to the impaired water bodies quantitatively by hydrologic conditions. Factors relating to water quality variation can be analyzed more precisely and assessed on the base of quantified contributions. It is considered that this approach could be utilized to establish a more effective plan for the water quality improvement including the prioritization of pollution reduction options.

Model based Fault Detection and Diagnosis of Induction Motors using Probability Density Estimation (확률분포추정기법을 이용한 유도전동기의 모델기반 고장진단 알고리즘 개발)

  • Kim, Kwang-Su;Lee, Young-Jin;Song, Xian-Hui;Lee, Kwon-Soon
    • Proceedings of the KIEE Conference
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    • 2008.04b
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    • pp.171-173
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    • 2008
  • This paper presents stochastic methodology based fault diction and diagnosis algorithm for induction motor systems. First, we construct probability distribution model from healthy motors and then probability distribution for faulty motors is recursively calculated by means of the proposed probability estimation. We measure motor current with hall sensors as system state. The estimated probability is compared to the model to generate a residue signal which is utilized for fault detection and diagnosis, that is, where a fault is occurred. We carry out real-time induction motor experiment to evaluate efficiency and reliability of the proposed approach.

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Data Mining Approach Using Practical Swarm Optimization (PSO) to Predicting Going Concern: Evidence from Iranian Companies

  • Salehi, Mahdi;Fard, Fezeh Zahedi
    • Journal of Distribution Science
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    • v.11 no.3
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    • pp.5-11
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    • 2013
  • Purpose - Going concern is one of fundamental concepts in accounting and auditing and sometimes the assessment of a company's going concern status that is a tough process. Various going concern prediction models' based on statistical and data mining methods help auditors and stakeholders suggested in the previous literature. Research design - This paper employs a data mining approach to prediction of going concern status of Iranian firms listed in Tehran Stock Exchange using Particle Swarm Optimization. To reach this goal, at the first step, we used the stepwise discriminant analysis it is selected the final variables from among of 42 variables and in the second stage; we applied a grid-search technique using 10-fold cross-validation to find out the optimal model. Results - The empirical tests show that the particle swarm optimization (PSO) model reached 99.92% and 99.28% accuracy rates for training and holdout data. Conclusions - The authors conclude that PSO model is applicable for prediction going concern of Iranian listed companies.

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The Effect of Perceived Justice on Customer Satisfaction and Repuchase Intention in the Discount Stores Service Recovery (할인점 서비스 회복과정의 공정성 지각이 고객만족과 재구매 의도에 미치는 영향)

  • Kim, Yong-han;Bae, Mu-eun
    • Journal of Distribution Science
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    • v.3 no.1
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    • pp.23-42
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    • 2005
  • The service offer expectation and the desire of customers to a large-sized rate influence store also increase as a result of such environmental change. the counter where research of a book was upgraded from differentiation pursuit by competition between business condition in business condition in the case of the domestic rate influence store which has put the focus on service strengthening The work shrine which cannot reach here the competition predominance in the domestic market it will be hard coming to secure, when environmental change of inside large-sized rate influence store industry is taken into consideration The research which tried to receive customer service failure recovery carried out actual proof analysis in the influence to which fair nature lateness of a customer attains to the re-purchase intention to this store of customer satisfaction and future by service recovery process for an object in the customer who held service failure recovery experience in the domestic large-sized rate influence store.

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Studies on NODE as Competitive Power in International Logistics - based on Logistics of Northern-east region of Asia- (국제물류와 NODE 경쟁력에 대한 연구 - 동북아 물류를 중심으로 -)

  • Kim, Jin-hwan
    • Journal of Distribution Science
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    • v.3 no.1
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    • pp.113-131
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    • 2005
  • This study aims to look into how we Korean ports can improve NODE competitiveness among northern-east region of Asia, and to examine a conceptual as well as practical methodology approach to be applied in terms of cluster. Also many other researches have done to take out the conclusion, which is environmental aspects as economic and logistical one in terms of northern-east region of Asia, basic concept with NODE, and matters concerning seaport from the viewpoint of hub-spoke, etc. Then finally it is suggested that we Korea has to concentrate on seaport, which is equipped with logistics cluster provide into value added logistics, in order to keep and gain the NODE competitiveness in northern-east region of Asia.

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